- Minh Ha Tran, Ofelia Gomez, Baowei Fei:
A video transformer network for thyroid cancer detection on hyperspectral histologic images. Digital and Computational Pathology 2023 - Michael H. Udin, Scott T. Doyle, Ciprian N. Ionita, Umesh C. Sharma, Saraswati Pokharel:
Automated identification of cardiomyocyte nuclei in H&E-stained heart tissue with CycleGAN. Digital and Computational Pathology 2023 - Carlos Vega
, Laura Quintana, Samuel Ortega, Himar Fabelo, Esther Sauras, Noèlia Gallardo, Daniel Mata Cano, Marylène Lejeune, Carlos López, Gustavo M. Callicó:
YOLOX-based framework for nuclei detection on whole-slide histopathological RGB and hyperspectral images. Digital and Computational Pathology 2023 - Trinh Thi Le Vuong, Jin Tae Kwak:
Quintet margin loss for an improved knowledge distillation in histopathology image analysis. Digital and Computational Pathology 2023 - Zhimin Wang, Zong Fan, Lulu Sun, Yao Hao, Hiram A. Gay, Wade L. Thorstad, Xiaowei Wang, Hua Li:
Deep-supervised adversarial learning-based classification for digital histologic images. Digital and Computational Pathology 2023 - Hao Wu, Xinjian Chen, Weifang Zhu, Fei Shi, Dehui Xiang:
Enhanced pooling-convolution for pathological image multi-class segmentation. Digital and Computational Pathology 2023 - Front Matter: Volume 12471. Digital and Computational Pathology 2023
- Kesi Xu, Mostafa Jahanifar, Simon Graham, Nasir M. Rajpoot:
Accurate segmentation of nuclear instances using a double-stage neural network. Digital and Computational Pathology 2023 - Jingjing Zhao, Aidan Van Vleck, Yonatan Winetraub, Lin Du, Yong Han, Sumaira Aasi, Kavita Yang Sarin, Adam de la Zerda:
Multifocal optical metasurfaces for cellular-resolution optical coherence tomography for rapid slide-free histology of human brain and skin samples. Digital and Computational Pathology 2023 - Yufei Zhou, Can Koyuncu, Cristian Barrera, Germán Corredor, Xiangxue Wang, Cheng Lu, Anant Madabhushi:
Transformer as a spatially-aware multi-instance learning framework to predict the risk of death for early-stage non-small cell lung cancer. Digital and Computational Pathology 2023 - Zhibang Zhou, Dehui Xiang, Fei Shi, Weifang Zhu, Xinjian Chen:
Category feature reconstruction for pathological image segmentation. Digital and Computational Pathology 2023 - John E. Tomaszewski, Aaron D. Ward:
Medical Imaging 2023: Digital and Computational Pathology, San Diego, CA, USA, February 19-23, 2023. SPIE Proceedings 12039, SPIE 2023, ISBN 9781510660472 [contents]
