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Digital Pathology 2020: Houston, TX, USA
- John E. Tomaszewski, Aaron D. Ward:
Medical Imaging 2020: Digital Pathology, Houston, TX, USA, February 15-20, 2020. SPIE Proceedings 11320, SPIE 2020, ISBN 9781510634077
Keynote and Computer-Aided Diagnosis, Prognosis, and Predictive Analysis
- Ruiwen Ding, Prateek Prasanna, Germán Corredor, Cheng Lu
, Priya Velu, Khoi Le, Patrick Leo, Niha G. Beig, Vamsidhar Velcheti, David L. Rimm
Compactness measures of tumor infiltrating lymphocytes in lung adenocarcinoma are associated with overall patient survival and immune scores. 1132003 - Sara ArabYarmohammadi, Zelin Zhang, Patrick Leo, Marjan Firouznia, Andrew Janowczyk, Haojia Li, Nathaniel M. Braman, Kaustav Bera, Behtash G. Nezami, Howard Meyerson, Jun Xu, Leland Metheny, Anant Madabhushi:
Computationally derived cytological image markers for predicting risk of relapse in acute myeloid leukemia patients following bone marrow transplantation. 1132004
Computer-Aided Diagnosis, Prognosis, and Predictive Analysis
- Salma Dammak
Prediction of tumour mutational burden of squamous cell carcinoma using histopathology images of surgical specimens. 1132005 - Muhammad Khalid Khan Niazi, Enes Yazgan, Cheryl Lee, Anil Parwani, Metin N. Gurcan
Identifying bladder layers from H and E images using U-Net image segmentation. 1132006 - Brendon Lutnick, Brandon Ginley, Kuang-Yu Jen, Wen Dong, Pinaki Sarder
Generative modeling for label-free glomerular modeling and classification. 1132007 - Muhammad Khalid Khan Niazi, Katherine Moore, Kenneth S. Berenhaut, Douglas J. Hartman, Liron Pantanowitz, Metin N. Gurcan
Hotspot detection in pancreatic neuroendocrine images using local depth. 1132008 - Dario Sitnik
Deep learning approaches for intraoperative pixel-based diagnosis of colon cancer metastasis in a liver from phase-contrast images of unstained specimens. 1132009 - Dario Sitnik
Transfer learning approach for intraoperative pixel-based diagnosis of colon cancer metastasis in a liver from hematoxylin-eosin stained specimens. 113200A
Segmentation of Cellular and Tissue Structures
- Leander van Eekelen, Hans Pinckaers, Konnie M. Hebeda, Geert Litjens
Multi-class semantic cell segmentation and classification of aplasia in bone marrow histology images. 113200B - Amol Mavuduru, Martin T. Halicek, Maysam Shahedi
Using a 22-layer U-Net to perform segmentation of squamous cell carcinoma on digitized head and neck histological images. 113200C - Zaneta Swiderska-Chadaj, Karolina Nurzynska, Bartlomiej Grala, Katrien Grunberg, Lieke van der Woude, Monika Looijen-Salamon, Ann E. Walts, Tomasz Markiewicz, Francesco Ciompi, Arkadiusz Gertych
A deep learning approach to assess the predominant tumor growth pattern in whole-slide images of lung adenocarcinoma. 113200D - Thomas E. Tavolara, Muhammad Khalid Khan Niazi, Gillian Beamer, Metin N. Gurcan
Segmentation of mycobacterium tuberculosis bacilli clusters from acid-fast stained lung biopsies: a deep learning approach. 113200E - Leema Krishna Murali, Brendon Lutnick, Brandon Ginley, John E. Tomaszewski, Pinaki Sarder
Generative modeling for renal microanatomy. 113200F
Grading and Classification of Pathology Images
- Can Fahrettin Koyuncu, Andrew Janowczyk, Cheng Lu
Three-dimensional histo-morphometric features from light sheet microscopy images result in improved discrimination of benign from malignant glands in prostate cancer. 113200G - W. Han, Michelle Downes, Theodorus H. van der Kwast, Joseph L. Chin, Stephen E. Pautler, Aaron D. Ward
Automatic cancer sub-grading on digital histopathology images of radical prostatectomy specimens. 113200H - Shayan Monabbati, Patrick Leo, Kaustav Bera, Behtash G. Nezami, Claire W. Michael, Aparna Harbhajanka, Anant Madabhushi:
Texture features distinguish benign cell clusters from adenocarcinomas on bile duct brushing cytology images. 113200I - Ming Y. Lu, Richard J. Chen, Faisal Mahmood:
Semi-supervised breast cancer histology classification using deep multiple instance learning and contrast predictive coding (Conference Presentation). 113200J - Bulut Aygünes, Selim Aksoy, Ramazan Gökberk Cinbis, Kemal Kösemehmetoglu, Sevgen Önder, Aysegül Üner:
Graph convolutional networks for region of interest classification in breast histopathology. 113200K - Sebastian Otálora, Manfredo Atzori, Amjad Khan
Systematic comparison of deep learning strategies for weakly supervised Gleason grading. 113200L
Integration of Multimodal and Spatial Information
- Richard J. Chen, Faisal Mahmood:
Discovering correspondences between molecular profiles and morphological features via deep learning (Conference Presentation). 113200M - Richard J. Chen, Max Lu, Faisal Mahmood:
Multimodal fusion of histology and molecular features for improved survival outcome prediction (Conference Presentation). 113200N - Deepak Anand, Shrey Gadiya, Amit Sethi:
Histographs: graphs in histopathology. 113200O - Darshana Govind
Deep learning-based automated hot-spot detection and tumor grading in human gastrointestinal neuroendocrine tumor. 113200P - Sepideh Azarianpour
Computer extracted features related to the spatial arrangement of tumor-infiltrating lymphocytes predict overall survival in epithelial ovarian cancer receiving adjuvant chemotherapy. 113200Q
Multispectral Imaging, Computational Microscopy and Staining
- Amjad Khan
Generalizing convolution neural networks on stain color heterogeneous data for computational pathology. 113200R - Gouthamrajan Nadarajan, Scott Doyle:
Realistic cross-domain microscopy via conditional generative adversarial networks: converting immunofluorescence to hematoxylin and eosin. 113200S - Martin T. Halicek, Samuel Ortega, Himar Fabelo
Conditional generative adversarial network for synthesizing hyperspectral images of breast cancer cells from digitized histology. 113200U - Samuel Ortega, Martin T. Halicek, Himar Fabelo
Hyperspectral imaging and deep learning for the detection of breast cancer cells in digitized histological images. 113200V - Ling Ma
Hyperspectral microscopic imaging for automatic detection of head and neck squamous cell carcinoma using histologic image and machine learning. 113200W
Poster Session
- Jinlong Wang, Leilei Wu
Making esophageal squamous cell carcinoma survival prediction from histopathological images and CT images. 113200X - Brandon Ginley, Kuang-Yu Jen, Avi Z. Rosenberg, Giovanni Maria Rossi, Sanjay Jain, Pinaki Sarder
Fully automated classification of glomerular lesions in lupus nephritis. 113200Y - Zaneta Swiderska-Chadaj, Konnie M. Hebeda, Michiel van den Brand, Geert Litjens
Predicting MYC translocation in HE specimens of diffuse large B-cell lymphoma through deep learning. 1132010 - Raja Muhammad Saad Bashir, Hanya Mahmood
Automated grade classification of oral epithelial dysplasia using morphometric analysis of histology images. 1132011 - Briana A. Santo, Brahm H. Segal, John E. Tomaszewski, Imtiaz Mohammad, Amber M. Worral, Sanjay Jain, Michelle B. Visser, Pinaki Sarder
Neutrophil Extracellular Traps (NETs): an unexplored territory in renal pathobiology, a pilot computational study. 1132012 - Madeleine S. Durkee
Preliminary radiomic texture analysis of high-channel fluorescence confocal images of triple-negative breast cancer biopsies. 1132013 - Samuel P. Border, Kuang-Yu Jen, Washington L. C. dos-Santos
Probabilistic modelling of diabetic nephropathy progression. 1132014 - Ricardo Moncayo, Sunny Alfonso, Angel Y. Sánchez, Carlos A. Parra, Eduardo Romero:
Searching patterns in glands for predicting gastric cancer survival. 1132015 - Ida Arvidsson, Niels Christian Overgaard, Agnieszka Krzyzanowska, Felicia-Elena Marginean, Athanasios Simoulis
Domain-adversarial neural network for improved generalization performance of Gleason grade classification. 1132016 - Dorsa Ziaei, Weizhe Li, Samuel Lam, Wei-Chung Cheng, Weijie Chen:
Characterization of color normalization methods in digital pathology whole slide images. 1132017 - Kathryn E. Maraszek
The presence and location of podocytes in glomeruli as affected by diabetes mellitus. 1132018 - Madeleine S. Durkee
Improved instance segmentation of immune cells in human lupus nephritis biopsies with Mask R-CNN. 1132019 - Mst Shamima Nasrin, Md. Zahangir Alom, Tarek M. Taha, Vijayan K. Asari:
PColorNet: investigating the impact of different color spaces for pathological image classification. 113201A - Jon Whitney, Henry Li, Sunil K. Srivastava, Jenna Hach, Jamie Reese, Amit Vasanji, Justis P. Ehlers:
Deep learning convolutional networks for image quality assessment in ultra-widefield fluorescein angiography. 113201B
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