A Pathologist-Informed Workflow for Classification of Prostate Glands in Histopathology (English)
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- New search for: Millis, Bryan A.
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- New search for: Zhou, Yuyin
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- New search for: Wang, Xiangxue
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- New search for: Harrison, Adam P.
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- New search for: Xu, Ziyue
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In:
Medical Optical Imaging and Virtual Microscopy Image Analysis
: First International Workshop, MOVI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings
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Chapter: 6
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53-62
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2022
- Article/Chapter (Book) / Electronic Resource
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Title:A Pathologist-Informed Workflow for Classification of Prostate Glands in Histopathology
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Additional title:Lect.Notes Computer
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Contributors:Huo, Yuankai ( editor ) / Millis, Bryan A. ( editor ) / Zhou, Yuyin ( editor ) / Wang, Xiangxue ( editor ) / Harrison, Adam P. ( editor ) / Xu, Ziyue ( editor ) / Ferrero, Alessandro ( author ) / Knudsen, Beatrice ( author ) / Sirohi, Deepika ( author ) / Whitaker, Ross ( author )
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Conference:International Workshop on Medical Optical Imaging and Virtual Microscopy Image Analysis ; 2022 ; Singapore, Singapore
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Published in:Medical Optical Imaging and Virtual Microscopy Image Analysis : First International Workshop, MOVI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings ; Chapter: 6 ; 53-62Lecture Notes in Computer Science ; 13578 ; 53-62
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Publisher:
- New search for: Springer Nature Switzerland
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Place of publication:Cham
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Publication date:2022-09-15
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Size:10 pages
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ISBN:
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ISSN:
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DOI:
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Type of media:Article/Chapter (Book)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents eBook
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
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Cell Counting with Inverse Distance Kernel and Self-supervised LearningGuo, Yue / Borland, David / McCormick, Carolyn / Stein, Jason / Wu, Guorong / Krishnamurthy, Ashok et al. | 2022
- 2
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Predicting the Visual Attention of Pathologists Evaluating Whole Slide Images of CancerChakraborty, Souradeep / Gupta, Rajarsi / Ma, Ke / Govind, Darshana / Sarder, Pinaki / Choi, Won-Tak / Mahmud, Waqas / Yee, Eric / Allard, Felicia / Knudsen, Beatrice et al. | 2022
- 3
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Edge-Based Self-supervision for Semi-supervised Few-Shot Microscopy Image Cell SegmentationDawoud, Youssef / Ernst, Katharina / Carneiro, Gustavo / Belagiannis, Vasileios et al. | 2022
- 4
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Joint Denoising and Super-Resolution for Fluorescence Microscopy Using Weakly-Supervised Deep LearningTsang, Colin S. C. / Mok, Tony C. W. / Chung, Albert C. S. et al. | 2022
- 5
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MxIF Q-score: Biology-Informed Quality Assurance for Multiplexed Immunofluorescence ImagingBao, Shunxing / Li, Jia / Cui, Can / Tang, Yucheng / Deng, Ruining / Remedios, Lucas W. / Lee, Ho Hin / Chiron, Sophie / Patterson, Nathan Heath / Lau, Ken S. et al. | 2022
- 6
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A Pathologist-Informed Workflow for Classification of Prostate Glands in HistopathologyFerrero, Alessandro / Knudsen, Beatrice / Sirohi, Deepika / Whitaker, Ross et al. | 2022
- 7
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Leukocyte Classification Using Multimodal Architecture Enhanced by Knowledge DistillationYang, Litao / Mehta, Deval / Mahapatra, Dwarikanath / Ge, Zongyuan et al. | 2022
- 8
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Deep Learning on Lossily Compressed Pathology Images: Adverse Effects for ImageNet Pre-trained ModelsFischer, Maximilian / Neher, Peter / Götz, Michael / Xiao, Shuhan / Almeida, Silvia Dias / Schüffler, Peter / Muckenhuber, Alexander / Braren, Rickmer / Kleesiek, Jens / Nolden, Marco et al. | 2022
- 9
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Profiling DNA Damage in 3D Histology Samplesdelas Peñas, Kristofer E. / Haeusler, Ralf / Feng, Sally / Magidson, Valentin / Dmitrieva, Mariia / Wink, David / Lockett, Stephen / Kinders, Robert / Rittscher, Jens et al. | 2022
- 10
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Few-Shot Segmentation of Microscopy Images Using Gaussian ProcessSaha, Surojit / Choi, Ouk / Whitaker, Ross et al. | 2022
- 11
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Adversarial Stain Transfer to Study the Effect of Color Variation on Cell Instance SegmentationWu, Huaqian / Souedet, Nicolas / Mabillon, Camille / Jan, Caroline / Clouchoux, Cédric / Delzescaux, Thierry et al. | 2022
- 12
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Constrained Self-supervised Method with Temporal Ensembling for Fiber Bundle Detection on Anatomic Tracing DataSundaresan, Vaanathi / Lehman, Julia F. / Fitzgibbon, Sean / Jbabdi, Saad / Haber, Suzanne N. / Yendiki, Anastasia et al. | 2022
- 13
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Sequential Multi-task Learning for Histopathology-Based Prediction of Genetic Mutations with Extremely Imbalanced LabelsAkrami, Haleh / Shah, Tosha / Vajdi, Amir / Brown, Andrew / Krishnan, Radha / Cristescu, Razvan / Chen, Antong et al. | 2022
- 14
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Morph-Net: End-to-End Prediction of Nuclear Morphological Features from Histology ImagesGunesli, Gozde N. / Jewsbury, Robert / Raza, Shan E Ahmed / Rajpoot, Nasir M. et al. | 2022
- 15
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A Light-Weight Interpretable Model for Nuclei Detection and Weakly-Supervised SegmentationZhang, Yixiao / Kortylewski, Adam / Liu, Qing / Park, Seyoun / Green, Benjamin / Engle, Elizabeth / Almodovar, Guillermo / Walk, Ryan / Soto-Diaz, Sigfredo / Taube, Janis et al. | 2022
- 16
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A Coarse-to-Fine Segmentation Methodology Based on Deep Networks for Automated Analysis of Cryptosporidium Parasite from Fluorescence Microscopic ImagesYang, Ziheng / Benhabiles, Halim / Windal, Feryal / Follet, Jérôme / Leniere, Anne-Charlotte / Collard, Dominique et al. | 2022
- 17
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Swin Faster R-CNN for Senescence Detection of Mesenchymal Stem Cells in Bright-Field ImagesXiao, Chunlun / Li, Mingzhu / He, Liangge / Song, Xuegang / Wang, Tianfu / Lei, Baiying et al. | 2022
- 18
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Characterizing Continual Learning Scenarios for Tumor Classification in Histopathology ImagesKaustaban, Veena / Ba, Qinle / Bhattacharya, Ipshita / Sobh, Nahil / Mukherjee, Satarupa / Martin, Jim / Miri, Mohammad Saleh / Guetter, Christoph / Chaturvedi, Amal et al. | 2022