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Basu A, Senapati P, Deb M, Rai R, Dhal KG. A survey on recent trends in deep learning for nucleus segmentation from histopathology images. EVOLVING SYSTEMS 2023; 15:1-46. [PMID: 38625364 PMCID: PMC9987406 DOI: 10.1007/s12530-023-09491-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Accepted: 02/13/2023] [Indexed: 03/08/2023]
Abstract
Nucleus segmentation is an imperative step in the qualitative study of imaging datasets, considered as an intricate task in histopathology image analysis. Segmenting a nucleus is an important part of diagnosing, staging, and grading cancer, but overlapping regions make it hard to separate and tell apart independent nuclei. Deep Learning is swiftly paving its way in the arena of nucleus segmentation, attracting quite a few researchers with its numerous published research articles indicating its efficacy in the field. This paper presents a systematic survey on nucleus segmentation using deep learning in the last five years (2017-2021), highlighting various segmentation models (U-Net, SCPP-Net, Sharp U-Net, and LiverNet) and exploring their similarities, strengths, datasets utilized, and unfolding research areas.
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Affiliation(s)
- Anusua Basu
- Department of Computer Science and Application, Midnapore College (Autonomous), Paschim Medinipur, Midnapore, West Bengal India
| | - Pradip Senapati
- Department of Computer Science and Application, Midnapore College (Autonomous), Paschim Medinipur, Midnapore, West Bengal India
| | - Mainak Deb
- Wipro Technologies, Pune, Maharashtra India
| | - Rebika Rai
- Department of Computer Applications, Sikkim University, Sikkim, India
| | - Krishna Gopal Dhal
- Department of Computer Science and Application, Midnapore College (Autonomous), Paschim Medinipur, Midnapore, West Bengal India
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de Vries E, Alic L, Schols RM, Emanuel KS, Wieringa FP, Bouvy ND, Tuijthof GJM. Near-Infrared Spectral Similarity between Ex Vivo Porcine and In Vivo Human Tissue. Life (Basel) 2023; 13:life13020357. [PMID: 36836713 PMCID: PMC9959888 DOI: 10.3390/life13020357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 01/11/2023] [Accepted: 01/17/2023] [Indexed: 01/31/2023] Open
Abstract
BACKGROUND In vivo diffuse reflectance spectroscopy provides additional contrast in discriminating nerves embedded in adipose tissue during surgery. However, large datasets are required to achieve clinically acceptable classification levels. This study assesses the spectral similarity between ex vivo porcine and in vivo human spectral data of nerve and adipose tissue, as porcine tissue could contribute to generate large datasets. METHODS Porcine diffuse reflectance spectra were measured at 124 nerve and 151 adipose locations. A previously recorded dataset of 32 in vivo human nerve and 23 adipose tissue locations was used for comparison. In total, 36 features were extracted from the raw porcine to generate binary logistic regression models for all combinations of two, three, four and five features. Feature selection was performed by assessing similar means between normalized features of nerve and of adipose tissue (Kruskal-Wallis test, p < 0.05) and for models performing best on the porcine cross validation set. The human test set was used to assess classification performance. RESULTS The binary logistic regression models with selected features showed an accuracy of 60% on the test set. CONCLUSIONS Spectral similarity between ex vivo porcine and in vivo human adipose and nerve tissue was present, but further research is required.
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Affiliation(s)
- Eva de Vries
- Research Engineering, Faculty of Health, Medicine, Life Sciences, Maastricht University, 6229 ER Maastricht, The Netherlands
| | - Lejla Alic
- Magnetic Detection and Imaging Group, Technical Medical Centre, Faculty of Science and Technology, University of Twente, 7522 NB Enschede, The Netherlands
| | - Rutger M. Schols
- Department of Plastic, Reconstructive and Hand Surgery, Maastricht University Medical Centre+, 6229 HX Maastricht, The Netherlands
| | - Kaj S. Emanuel
- Department of Orthopaedic Surgery, Faculty of Health, Medicine, Life Sciences, Maastricht University, 6229 ER Maastricht, The Netherlands
- Department of Orthopedic Surgery and Sports Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam Movement Sciences, 1105 AZ Amsterdam, The Netherlands
| | | | - Nicole D. Bouvy
- Department of Surgery, School for Nutrition, Toxicology and Metabolism, Maastricht University Medical Centre+, 6229 HX Maastricht, The Netherlands
| | - Gabriëlle J. M. Tuijthof
- Research Engineering, Faculty of Health, Medicine, Life Sciences, Maastricht University, 6229 ER Maastricht, The Netherlands
- Department of Biomechanical Engineering, Faculty of Engineering Technologies, University of Twente, 7522 NB Enschede, The Netherlands
- Correspondence: ; Tel.: +31-639265645
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Intraoperative Anwendung künstlicher Intelligenz und neuer hyperspektraler Bildgebungsverfahren in der kolorektalen Chirurgie. COLOPROCTOLOGY 2022. [DOI: 10.1007/s00053-022-00592-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Wong A, Wong JCY, Pandey PU, Wiseman SM. Novel techniques for intraoperative parathyroid gland identification: a comprehensive review. Expert Rev Endocrinol Metab 2020; 15:439-457. [PMID: 33074033 DOI: 10.1080/17446651.2020.1831913] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Accepted: 09/30/2020] [Indexed: 02/06/2023]
Abstract
INTRODUCTION The parathyroid glands (PGs) are critical for calcium regulation and homeostasis. The preservation of PGs during neck surgery is crucial to avoid postoperative hypoparathyroidism. There are no existing guidelines for intraoperative PG identification, and the current approach relies heavily on the experience of the operating surgeon. A technique that accurately and rapidly identifies PGs would represent a useful intraoperative adjunct. AREAS COVERED This review aims to assess common dye and fluorescence-based PG imaging techniques and examine their utility for intraoperative PG identification. A literature search of published data on methylene blue (MB), indocyanine green (ICG) angiography, near-infrared autofluorescence (NIRAF), and the PGs between 1971 and 2020 was conducted on PubMed. EXPERT OPINION NIRAF and near-infrared (NIR) parathyroid angiography have emerged as promising and reliable techniques for intraoperative PG identification. NIRAF may aid with real-time identification of both normal and diseased PGs and reduce the risk of postoperative complications such as hypocalcemia. Further large prospective multicenter studies should be conducted in thyroid and parathyroid surgical patient populations to confirm the clinical efficacy of these intraoperative NIR-based PG detection techniques.
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Affiliation(s)
- Amanda Wong
- St. Paul's Hospital Department of Surgery, The University of British Columbia Department of Surgery , Vancouver, British Columbia, Canada
| | - Jovi C Y Wong
- St. Paul's Hospital Department of Surgery, The University of British Columbia Department of Surgery , Vancouver, British Columbia, Canada
| | - Prashant U Pandey
- Biomedical Engineering, University of British Columbia , Vancouver, British Columbia, Canada
| | - Sam M Wiseman
- St. Paul's Hospital Department of Surgery, The University of British Columbia Department of Surgery , Vancouver, British Columbia, Canada
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Maktabi M, Köhler H, Ivanova M, Neumuth T, Rayes N, Seidemann L, Sucher R, Jansen-Winkeln B, Gockel I, Barberio M, Chalopin C. Classification of hyperspectral endocrine tissue images using support vector machines. Int J Med Robot 2020; 16:1-10. [PMID: 32390328 DOI: 10.1002/rcs.2121] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Revised: 05/04/2020] [Accepted: 05/04/2020] [Indexed: 01/28/2023]
Abstract
BACKGROUND Thyroidectomy is one of the most commonly performed surgical procedures. The region of the neck has a very complex structural organization. It would be beneficial to introduce a tool that can assist the surgeon in tissue discrimination during the procedure. One such solution is the noninvasive and contactless technique, called hyperspectral imaging (HSI). METHODS To interpret the HSI data, we implemented a supervised classification method to automatically discriminate the parathyroid, the thyroid, and the recurrent laryngeal nerve from surrounding tissue(muscle, skin) and materials (instruments, gauze). A leave-one-patient-out cross-validation was performed. RESULTS The best performance was obtained using support vector machine (SVM) with a classification and visualization in less than 1.4 seconds. A mean patient accuracy of 68% ± 23% was obtained for all tissues and material types. CONCLUSIONS The proposed method showed promising results and have to be confirmed on a larger cohort of patient data.
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Affiliation(s)
- Marianne Maktabi
- Innovation Center Computer Assisted Surgery (ICCAS), University of Leipzig, Leipzig, Germany
| | - Hannes Köhler
- Innovation Center Computer Assisted Surgery (ICCAS), University of Leipzig, Leipzig, Germany
| | - Magarita Ivanova
- Innovation Center Computer Assisted Surgery (ICCAS), University of Leipzig, Leipzig, Germany
| | - Thomas Neumuth
- Innovation Center Computer Assisted Surgery (ICCAS), University of Leipzig, Leipzig, Germany
| | - Nada Rayes
- Department of Visceral, Transplant, Thoracic and Vascular Surgery, University Hospital of Leipzig, Leipzig, Germany
| | - Lena Seidemann
- Department of Visceral, Transplant, Thoracic and Vascular Surgery, University Hospital of Leipzig, Leipzig, Germany
| | - Robert Sucher
- Department of Visceral, Transplant, Thoracic and Vascular Surgery, University Hospital of Leipzig, Leipzig, Germany
| | - Boris Jansen-Winkeln
- Department of Visceral, Transplant, Thoracic and Vascular Surgery, University Hospital of Leipzig, Leipzig, Germany
| | - Ines Gockel
- Department of Visceral, Transplant, Thoracic and Vascular Surgery, University Hospital of Leipzig, Leipzig, Germany
| | - Manuel Barberio
- Department of Visceral, Transplant, Thoracic and Vascular Surgery, University Hospital of Leipzig, Leipzig, Germany.,Institute of Image-Guided Surgery (IHU), Strasbourg, France
| | - Claire Chalopin
- Innovation Center Computer Assisted Surgery (ICCAS), University of Leipzig, Leipzig, Germany
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He Q, Zhu J, Zhuang D, Fan Z, Zheng L, Zhou P, Yu F, Wang G, Ni G, Dong X, Wang M, Li X, Liu C, Wang D, Yue T, Hou L, Wang M, Li D. Robotic lateral cervical lymph node dissection via bilateral axillo-breast approach for papillary thyroid carcinoma: a single-center experience of 260 cases. J Robot Surg 2020; 14:317-323. [PMID: 31218501 PMCID: PMC7125246 DOI: 10.1007/s11701-019-00986-3] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2018] [Accepted: 06/06/2019] [Indexed: 02/07/2023]
Abstract
To evaluate the feasibility and safety of robotic lateral cervical lymph node dissection via BABA, 260 thyroid cancer patients with suspected level II, III, IV, and Vb lymph node metastasis were selected. The lateral cervical compartment was exposed by splitting the sternocleidomastoid muscle longitudinally, and separating between the strap muscles and the anterior margin of the sternocleidomastoid muscle. The procedure was completed in 260 patients. Mean time for robotic lateral node dissection took 80 ± 21 min. The wound catheter was removed 6.3 days. Postoperative transient symptomatic hypocalcemia was observed in 51 patients, transient hoarseness in three, seroma in three, chyle leakage in two, and tracheal injury in one. 124 patients were confirmed to have lymph node metastasis on final pathological report. Average postoperative hospital stay was 6.5 days. Robotic lateral neck dissection by BABA is the acceptable operative alternative for thyroid cancer patients who wished to keep their surgical history private.
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Affiliation(s)
- Qingqing He
- Department of Thyroid and Breast Surgery, 960th Hospital of the People's Liberation Army, No. 25 Shifan Road, Jinan, 250031, People's Republic of China.
| | - Jian Zhu
- Department of Thyroid and Breast Surgery, 960th Hospital of the People's Liberation Army, No. 25 Shifan Road, Jinan, 250031, People's Republic of China
| | - Dayong Zhuang
- Department of Thyroid and Breast Surgery, 960th Hospital of the People's Liberation Army, No. 25 Shifan Road, Jinan, 250031, People's Republic of China
| | - Ziyi Fan
- Department of Thyroid and Breast Surgery, 960th Hospital of the People's Liberation Army, No. 25 Shifan Road, Jinan, 250031, People's Republic of China
| | - Luming Zheng
- Department of Thyroid and Breast Surgery, 960th Hospital of the People's Liberation Army, No. 25 Shifan Road, Jinan, 250031, People's Republic of China
| | - Peng Zhou
- Department of Thyroid and Breast Surgery, 960th Hospital of the People's Liberation Army, No. 25 Shifan Road, Jinan, 250031, People's Republic of China
| | - Fang Yu
- Department of Thyroid and Breast Surgery, 960th Hospital of the People's Liberation Army, No. 25 Shifan Road, Jinan, 250031, People's Republic of China
| | - Gang Wang
- Department of Thyroid and Breast Surgery, 960th Hospital of the People's Liberation Army, No. 25 Shifan Road, Jinan, 250031, People's Republic of China
| | - Gaofeng Ni
- Department of Thyroid and Breast Surgery, 960th Hospital of the People's Liberation Army, No. 25 Shifan Road, Jinan, 250031, People's Republic of China
| | - Xuefeng Dong
- Department of Thyroid and Breast Surgery, 960th Hospital of the People's Liberation Army, No. 25 Shifan Road, Jinan, 250031, People's Republic of China
| | - Meng Wang
- Department of Thyroid and Breast Surgery, 960th Hospital of the People's Liberation Army, No. 25 Shifan Road, Jinan, 250031, People's Republic of China
| | - Xiaolei Li
- Department of Thyroid and Breast Surgery, 960th Hospital of the People's Liberation Army, No. 25 Shifan Road, Jinan, 250031, People's Republic of China
| | - Changrui Liu
- Department of Thyroid and Breast Surgery, 960th Hospital of the People's Liberation Army, No. 25 Shifan Road, Jinan, 250031, People's Republic of China
| | - Dan Wang
- Department of Thyroid and Breast Surgery, 960th Hospital of the People's Liberation Army, No. 25 Shifan Road, Jinan, 250031, People's Republic of China
| | - Tao Yue
- Department of Thyroid and Breast Surgery, 960th Hospital of the People's Liberation Army, No. 25 Shifan Road, Jinan, 250031, People's Republic of China
| | - Lei Hou
- Department of Thyroid and Breast Surgery, 960th Hospital of the People's Liberation Army, No. 25 Shifan Road, Jinan, 250031, People's Republic of China
| | - Mengdi Wang
- Department of Thyroid and Breast Surgery, 960th Hospital of the People's Liberation Army, No. 25 Shifan Road, Jinan, 250031, People's Republic of China
| | - Dandan Li
- Department of Thyroid and Breast Surgery, 960th Hospital of the People's Liberation Army, No. 25 Shifan Road, Jinan, 250031, People's Republic of China
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