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Publication search results
found 43 matches
- 2021
- Ling Ma, Ximing Zhou, James V. Little, Amy Y. Chen, Larry L. Myers, Baran D. Sumer, Baowei Fei:
Hyperspectral microscopic imaging for the detection of head and neck squamous cell carcinoma on histologic slides. Medical Imaging: Digital Pathology 2021 - Rebecca Abraham, Madeleine S. Durkee, Margaret Veselits, Junting Ai, Jordan D. Fuhrman, Marcus R. Clark, Maryellen L. Giger:
Application and generalizability of U-Net segmentation of immune cells in inflamed tissue. Medical Imaging: Digital Pathology 2021 - Rawan Albusayli, J. Dinny Graham, Nirmala Pathmanathan, Muhammad Shaban, Fayyaz Minhas, Jane E. Armes, Nasir M. Rajpoot:
Simple non-iterative clustering and CNNs for coarse segmentation of breast cancer whole-slide images. Medical Imaging: Digital Pathology 2021 - Eleni Aloupogianni, Hiroyuki Suzuki, Takaya Ichimura, Atsushi Sasaki, Hiroto Yanagisawa, Tetsuya Tsuchida, Masahiro Ishikawa, Naoki Kobayashi, Takashi Obi:
Effect of formalin fixing on chromophore saliency maps derived from multi-spectral macropathology skin images. Medical Imaging: Digital Pathology 2021 - Witali Aswolinskiy, David Tellez, Gabriel Raya, Lieke van der Woude, Monika Looijen-Salamon, Jeroen van der Laak, Katrien Grunberg, Francesco Ciompi:
Neural image compression for non-small cell lung cancer subtype classification in H&E stained whole-slide images. Medical Imaging: Digital Pathology 2021 - Dhadma Balachandran, Margaret Brandwein-Weber, Jonathan Folmsbee, Scott Doyle:
Comparing architectural features between heuristically human-annotated and Artificial Intelligence (AI) generated tumor and satellite labels in early-stage oral cavity cancer. Medical Imaging: Digital Pathology 2021 - Markus Bauer, Sebastian Zürner, Markus Kreuz, Dominik Otto, Georg Popp, Ulf-Dietrich Braumann:
Histological grading of the prostate carcinoma using deep learning: an unsupervised approach. Medical Imaging: Digital Pathology 2021 - Markus Bauer, Sebastian Zürner, Markus Kreuz, Dominik Otto, Georg Popp, Ulf-Dietrich Braumann:
Histological grading of the prostate carcinoma using deep learning: an unsupervised approach (Erratum). Medical Imaging: Digital Pathology 2021 - Marcel Bengs, Michael Bockmayr, Ulrich Schüller, Alexander Schlaefer:
Medulloblastoma tumor classification using deep transfer learning with multi-scale EfficientNets. Medical Imaging: Digital Pathology 2021 - Chang Bian, Yu Wang, Yu An, Hanfan Wang, Yang Du, Jie Tian:
A computational prediction method based on modified U-Net for cell distribution in tumor microenvironment. Medical Imaging: Digital Pathology 2021 - Michael Brehler, Allison K. Lowman, Samuel Bobholz, Sean D. McGarry, Anjishnu Banerjee, Kenneth A. Iczkowski, Peter S. LaViolette:
Co-registration tool for large format whole mount prostate multi-plex histology. Medical Imaging: Digital Pathology 2021 - Michael Brehler, Allison K. Lowman, Samuel Bobholz, Sean D. McGarry, Jennifer Connelly, Elizabeth J. Cochran, Peter S. LaViolette:
Quantitative analysis of Alzheimer's disease pathology in glioblastoma patients. Medical Imaging: Digital Pathology 2021 - Seda Camalan, M. Khalid Khan Niazi, Mahesh Devarasetty, Shay Soker, Metin N. Gurcan:
Bladder cancer organoid image analysis: textured-based grading. Medical Imaging: Digital Pathology 2021 - Aritra Chowdhury, Sujoy K. Biswas, Simone Bianco:
Active deep learning reduces annotation burden in automatic cell segmentation. Medical Imaging: Digital Pathology 2021 - Eric Cosatto, Kyle Gerard, Hans Peter Graf, Maki Ogura, Tomoharu Kiyuna, Kanako C. Hatanaka, Yoshihiro Matsuno, Yutaka Hatanaka:
A multi-scale conditional deep model for tumor cell ratio counting. Medical Imaging: Digital Pathology 2021 - Tan Nhu Nhat Doan, Chang Hee Han, Jin Tae Kwak:
Distance ordinal regression loss for an improved nuclei segmentation. Medical Imaging: Digital Pathology 2021 - Madeleine S. Durkee, Rebecca Abraham, Junting Ai, Marcus R. Clark, Maryellen L. Giger:
Managing class imbalance and differential staining of immune cell populations in multi-class instance segmentation of multiplexed immunofluorescence images of Lupus Nephritis biopsies. Medical Imaging: Digital Pathology 2021 - Freja Fagerblom, Karin Stacke, Jesper Molin:
Combatting out-of-distribution errors using model-agnostic meta-learning for digital pathology. Medical Imaging: Digital Pathology 2021 - Bradie M. Ferguson, Madeleine S. Durkee, Rebecca Abraham, Junting Ai, Hui Li, Li Lan, Julian Bertini, Marcus R. Clark, Maryellen L. Giger:
Radiomic texture analysis of immunofluorescence images of lupus nephritis biopsies to predict patient progression to end-stage renal disease. Medical Imaging: Digital Pathology 2021 - Jonathan Folmsbee, Margaret Brandwein-Weber, Scott Doyle:
Whole slide semantic segmentation: large scale active learning for digital pathology. Medical Imaging: Digital Pathology 2021 - Daan J. Geijs, Hans Pinckaers, Avital L. Amir, Geert J. S. Litjens:
End-to-end classification on basal-cell carcinoma histopathology whole-slides images. Medical Imaging: Digital Pathology 2021 - Darshana Govind, Briana A. Santo, Brandon Ginley, Rabi Yacoub, Avi Z. Rosenberg, Kuang-Yu Jen, Vighnesh Walavalkar, Gregory E. Wilding, Amber M. Worral, Imtiaz Mohammad, Pinaki Sarder:
Automated detection and quantification of Wilms' Tumor 1-positive cells in murine diabetic kidney disease. Medical Imaging: Digital Pathology 2021 - Gal Gozes, Anat Shkolyar, Amit Gefen, Dafna Benayahu, Hayit Greenspan:
Harnessing generative adversarial networks to generate synthetic mitosis images for classification of cell images. Medical Imaging: Digital Pathology 2021 - Kuang-Yu Jen, Leema Krishna Murali, Brendon Lutnick, Brandon Ginley, Darshana Govind, Hidetoshi Mori, Guofeng Gao, Pinaki Sarder:
In silico multi-compartment detection based on multiplex immunohistochemical staining in renal pathology. Medical Imaging: Digital Pathology 2021 - Jing Ke, Yiqing Shen, Xinyu Jiang, Yi Guo, Yaobing Chen, Xiaoyao Liang:
Multiple-datasets and multiple-label based color normalization in histopathology with cGAN. Medical Imaging: Digital Pathology 2021 - Ivica Kopriva, Dario Sitnik, Gorana Aralica, Arijana Pacic, Marijana Popovic Hadzija, Mirko Hadzija:
Approximate explicit feature map for computational augmentation of RGB images of hematoxylin and eosin stained histopathological specimens. Medical Imaging: Digital Pathology 2021 - Jeroen A. W. M. van der Laak:
Computational Pathology: What is the way forward? Medical Imaging: Digital Pathology 2021 - Nathan Lang, Devansh Saxena, Tina Yen, Julie Jorns, Bing Yu, Dong Hye Ye:
Breast cancer magnification-independent multi-class histopathology classification using dual-step model. Medical Imaging: Digital Pathology 2021 - Weizhe Li, Weijie Chen:
Reproducibility in deep learning algorithms for digital pathology applications: a case study using the CAMELYON16 datasets. Medical Imaging: Digital Pathology 2021 - Jocelyn Liu, Samuel Lam, Paul Lemaillet, Wei-Chung Cheng:
Colorimetrical evaluation of color normalization methods for H&E-stained images. Medical Imaging: Digital Pathology 2021
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