淋巴瘤病理诊断新进展
孟斌①， 付凯 - 中国肿瘤临床, 2016 - cjco.cn
2008 年第4 版WHO 淋巴瘤分类对于淋巴瘤的临床诊治, 基础研究起到巨大的推动作用.
新的修订版即将出版, 虽然分类的基本结构未改变, 但对于淋巴瘤发生极早期阶段的一些病变的 …
新的修订版即将出版, 虽然分类的基本结构未改变, 但对于淋巴瘤发生极早期阶段的一些病变的 …
Accurate diagnosis of non-Hodgkin lymphoma on whole-slide images using deep learning
H Khelil, L Djerou - 2022 IEEE 9th International Conference …, 2022 - ieeexplore.ieee.org
Digital Pathology is the technique of digitizing histology slides to create high-resolution
images. One of the important applications for digital pathology is tissue level classification …
images. One of the important applications for digital pathology is tissue level classification …
人工智能在肿瘤组织病理学的研究现状.
郑闪， 孙丰龙， 张慧娟， 史文钊… - Chinese Journal of …, 2018 - search.ebscohost.com
人工智能在肿瘤组织病理学的研究有图像分割和分类两大方向, 已有研究报道的恶性肿瘤有乳腺
癌, 肺癌和前列腺癌等, 包括淋巴结转移的判定, 病理分型和分级等. 以判定乳腺癌前哨淋巴结 …
癌, 肺癌和前列腺癌等, 包括淋巴结转移的判定, 病理分型和分级等. 以判定乳腺癌前哨淋巴结 …
Classification of sub-type of lymphoma using deep learning
PB Thorat - 2020 - norma.ncirl.ie
The accurate identification and categorization of cancer structure or sub-type is an important
task because of considerable workload and expertise in pathological skills. The current …
task because of considerable workload and expertise in pathological skills. The current …
Machine learning and computer vision based methods for cancer classification: A systematic review
SB Mukadam, HY Patil - Archives of Computational Methods in …, 2024 - Springer
Cancer remains a substantial worldwide health issue that requires careful and exact
classification to plan treatment in its early stages. Classical methods of cancer diagnosis …
classification to plan treatment in its early stages. Classical methods of cancer diagnosis …
An effective multi-classification method for NHL pathological images
H Jiang, Z Li, S Li, F Zhou - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
Accurate classification on pathological images is a significant research focus such as for non-
Hodgkin lymphomas (NHL). To this end, this paper proposes a hierarchical classification …
Hodgkin lymphomas (NHL). To this end, this paper proposes a hierarchical classification …
Informatics approaches to address new challenges in the classification of lymphoid malignancies
Purpose Lymphoid malignancies are remarkably heterogeneous, with variations in
outcomes and clinical, biologic, and histologic presentation complicating classification …
outcomes and clinical, biologic, and histologic presentation complicating classification …
A content-based image retrieval system for the diagnosis of lymphoma using blood micrographs: An incorporation of deep learning with a traditional learning …
MR Reena, PM Ameer - Computers in Biology and Medicine, 2022 - Elsevier
Lymphomas, or cancers of the lymphatic system, account for around half of all blood cancers
diagnosed each year. Lymphoma is a condition that is difficult to diagnose, and accurate …
diagnosed each year. Lymphoma is a condition that is difficult to diagnose, and accurate …