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An end-to-end weakly supervised learning framework for cancer subtype classification using histopathological slides.

H. Zhou, H. Chen, B. Yu, S. Pang, X. Cong, and L. Cong. Expert Syst. Appl., 237 (Part A): 121379 (March 2024)

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Vincent Pang

Cuiping Pang

Jian Pang

Shixuan Pang

Xiaobin Pang

Other publications of authors with the same name

Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Image Segmentation.S. Pang, A. Du, M. Orgun, Y. Wang, Q. Sheng, S. Wang, X. Huang, and Z. Yu. IEEE Trans. Cybern., 53 (11): 6776-6787 (November 2023)Universalization of narrow methods: Case study on autoencoders.A. Potapov, V. Batishcheva, and S. Pang. CCIS, page 302-304. IEEE, (2014)Point-Level Label-Free Segmentation Framework for 3D Point Cloud Semantic Mining.A. Du, S. Pang, and M. Orgun. ADMA (1), volume 14176 of Lecture Notes in Computer Science, page 417-430. Springer, (2023)UniMOS: A Universal Framework For Multi-Organ Segmentation Over Label-Constrained Datasets.C. Li, S. Shao, J. Qu, S. Pang, and M. Orgun. BIBM, page 2081-2084. IEEE, (2023)Training radiomics-based CNNs for clinical outcome prediction: Challenges, strategies and findings.S. Pang, M. Field, J. Dowling, S. Vinod, L. Holloway, and A. Sowmya. Artif. Intell. Medicine, (2022)Tumor attention networks: Better feature selection, better tumor segmentation.S. Pang, A. Du, M. Orgun, Y. Wang, and Z. Yu. Neural Networks, (2021)ConTenNet: Quantum Tensor-augmented Convolutional Representations for Breast Cancer Histopathological Image Classification.J. Liu, H. Lai, J. Ma, and S. Pang. BIBM, page 1654-1657. IEEE, (2022)Fine-grained tumor segmentation on computed tomography slices by leveraging bottom-up and top-down strategies.Z. Yu, S. Pang, A. Du, M. Orgun, Y. Wang, and H. Lin. Medical Imaging: Image Processing, volume 11313 of SPIE Proceedings, page 113130E. SPIE, (2020)Enhancing Content-based Recommendation via Large Language Model.W. Xu, Q. Xie, S. Yang, J. Cao, and S. Pang. CoRR, (2024)An end-to-end weakly supervised learning framework for cancer subtype classification using histopathological slides.H. Zhou, H. Chen, B. Yu, S. Pang, X. Cong, and L. Cong. Expert Syst. Appl., 237 (Part A): 121379 (March 2024)

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Disambiguation of "Pang, Shuchao"

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An end-to-end weakly supervised learning framework for cancer subtype classification using histopathological slides.

Please choose a person to relate this publication to

Vincent Pang

Cuiping Pang

Jian Pang

Shixuan Pang

Xiaobin Pang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Pang, Shuchao"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML An end-to-end weakly supervised learning framework for cancer subtype classification using histopathological slides.

Please choose a person to relate this publication to

Vincent Pang

Cuiping Pang

Jian Pang

Shixuan Pang

Xiaobin Pang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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An end-to-end weakly supervised learning framework for cancer subtype classification using histopathological slides.