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 …
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 …
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
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 …
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 …
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 …
pathologist for diagnosis. We aimed to investigate the effectiveness of Artificial Neural …
Towards designing an automated classification of lymphoma subtypes using deep neural networks
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 …
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 …
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 …
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 …
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
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 …
malignant lymphoma. A standardized diagnosis is occasionally difficult to achieve even by …