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
Over the past 10 years, machine vision (MV) algorithms for image analysis have been
developing rapidly with computing power. At the same time, histopathological slices can be …
developing rapidly with computing power. At the same time, histopathological slices can be …
Leveraging Convolutional Neural Networks for Classifying Lymphoma Using Histopathological Images
KR Aravind, KA Kumar, VVD Reddy… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
The lymphatic system serves as the origin of lymphoma, a cancerous condition in which
lymphocytes undergo a malignant transformation and begin to divide uncontrollably. As the …
lymphocytes undergo a malignant transformation and begin to divide uncontrollably. As the …
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
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 …
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 …
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 …
A new approach for automatic classification of non-Hodgkin lymphoma using deep learning and classical learning methods on histopathological images
E Özgür, A Saygılı - Neural Computing and Applications, 2024 - Springer
Lymph cancer, also known as lymphoma, refers to the uncontrolled proliferation of the
body's defensive cells, resulting in their transformation into cancerous cells. Lymphoma …
body's defensive cells, resulting in their transformation into cancerous cells. Lymphoma …