Automatic Lymph Node Classification with Convolutional Neural Network

A Uthatham, N Yodrabum… - 2022 14th …, 2022 - ieeexplore.ieee.org
Manual lymph node classification is a tedious and time-consuming task. It requires a
histopathologist to discriminate a lymph node from other look-alike kinds of tissues. The …

Lymphoma recognition based on CNN models

F Zhang, S Yang, S Guo, X Xia - Second IYSF Academic …, 2021 - spiedigitallibrary.org
Being part of hematopoietic lymphoid tissue tumors, lymphoma has aroused wide concerns
in the field of cancer research. Therefore, a lymphatic cancer diagnosis has become 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 …

Automated Lymph Nodes Classification using Factorized Convolution-based CNN

H Tekchandani, S Verma… - 2021 Fourth International …, 2021 - ieeexplore.ieee.org
Lymph nodes (LNs) are an essential component of immune system which filter out harmful
substances. Any disease of LNs leads to serious medical complications and may reduce …

Lymph node detection method based on multisource transfer learning and convolutional neural network

Y Ma, Y Peng - International Journal of Imaging Systems and …, 2020 - Wiley Online Library
Recently years, convolutional neural networks (CNNs) have proven to be powerful tools for
a broad range of computer vision tasks. However, training a CNN from scratch is difficult …

Classification of Metastatic Lymph Node Sections Using Deep Learning

C Maheshwari, P Vishnawat, S Jain… - 2023 International …, 2023 - ieeexplore.ieee.org
Cancer is an extremely aggressive disease, in which abnormal cells divide uncontrollably
and destroy vital body tissue. Metastasis is a form of cancer when cancer cells break away …

A prior-based method for colorectal lymph node region classification via deep neural network

Y Huang, S Huang, H Wang, M Wei… - 2021 IEEE …, 2021 - ieeexplore.ieee.org
Colorectal cancer (CRC) is a common malignant tumor disease appeared in colon or rectum
walls. CRC metastasis often appears with lymph nodes, and the CRC lymph nodes region …

A novel exponential loss function for pathological lymph node image classification

G Xu, H Cao, JK Udupa, C Yue, Y Dong… - … of Images and …, 2020 - spiedigitallibrary.org
Recent progress in deep learning, especially deep convolutional neural networks (DCNNs),
has led to significant improvement in natural image classification. However, research is still …

Convolutional neural networks for recognition of lymphoblast cell images

T Pansombut, S Wikaisuksakul… - Computational …, 2019 - Wiley Online Library
This paper presents the recognition for WHO classification of acute lymphoblastic leukaemia
(ALL) subtypes. The two ALL subtypes considered are T‐lymphoblastic leukaemia (pre‐T) …

An enhanced deep learning architecture for the classification of cancerous lymph node images

U Subbiah, RV Kumar, SA Panicker… - … inventive research in …, 2020 - ieeexplore.ieee.org
The use of deep learning techniques to diagnose medical disorders has gained increasing
popularity in recent times. The unbeatable accuracy of deep learning algorithms often …