淋巴瘤图像分类技术研究综述.

张晓丽, 张魁星, 江梅, 魏本征… - Journal of Computer …, 2021 - search.ebscohost.com
淋巴瘤是源于淋巴造血系统的一类恶性肿瘤, 基于医学影像及病理图像的精准诊断对临床治疗
淋巴瘤具有重要价值. 随着机器学习和深度学习技术的发展, 利用人工智能技术对淋巴瘤图像 …

[PDF][PDF] Classification and Diagnosis of Lymphoma's Histopathological Images Using Transfer Learning.

S Soltane, S Alsharif, SMS Eldin - Computer Systems Science & …, 2022 - cdn.techscience.cn
Current cancer diagnosis procedure requires expert knowledge and is time-consuming,
which raises the need to build an accurate diagnosis support system for lymphoma …

What can machine vision do for lymphatic histopathology image analysis: A comprehensive review

X Li, H Chen, C Li, MM Rahaman, X Li, J Wu… - arXiv preprint arXiv …, 2022 - arxiv.org
In the past ten years, the computing power of machine vision (MV) has been continuously
improved, and image analysis algorithms have developed rapidly. At the same time …

Deep learning for the classification of non-Hodgkin lymphoma on histopathological images

G Steinbuss, M Kriegsmann, C Zgorzelski, A Brobeil… - Cancers, 2021 - mdpi.com
Simple Summary Histopathological examination of lymph node (LN) specimens allows the
detection of hematological diseases. The identification and the classification of lymphoma, a …

Evolution of convolutional neural networks for lymphoma classification

CD Walsh, NK Taylor - Advances in Computer Vision and Computational …, 2021 - Springer
There are more than 60 subtypes of Lymphoma. This diversity usually requires a specialised
pathologist for diagnosis. We aimed to investigate the effectiveness of Artificial Neural …

Towards designing an automated classification of lymphoma subtypes using deep neural networks

R Tambe, S Mahajan, U Shah, M Agrawal… - Proceedings of the ACM …, 2019 - dl.acm.org
Cancer diagnosis and treatment is a field where AI has the potential to provide tremendous
scope for targeted large scale interventions. NITI Aayog, Government of India, in its …

淋巴瘤病理诊断新进展

孟斌, 付凯 - 中国肿瘤临床, 2016 - cqvip.com
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 …

[HTML][HTML] Research on the classification of lymphoma pathological images based on deep residual neural network

X Zhang, K Zhang, M Jiang… - Technology and Health …, 2021 - content.iospress.com
BACKGROUND: Malignant lymphoma is a type of tumor that originated from the
lymphohematopoietic system, with complex etiology, diverse pathological morphology, and …

Automatic classification of Non Hodgkin's lymphoma using histological images: Recent advances and directions

P Battula, S Sharma - 2018 International Conference on …, 2018 - ieeexplore.ieee.org
Lymphoma is a type of blood cancer, whose around 80,000 new cases are diagnosed every
year. It is generated in body's immune system cells like lymph nodes, spleen, bone marrow …

Deep learning shows the capability of high-level computer-aided diagnosis in malignant lymphoma

H Miyoshi, K Sato, Y Kabeya, S Yonezawa… - Laboratory …, 2020 - nature.com
A pathological evaluation is one of the most important methods for the diagnosis of
malignant lymphoma. A standardized diagnosis is occasionally difficult to achieve even by …