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 …
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 …
in the field of cancer research. Therefore, a lymphatic cancer diagnosis has become 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 …
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 …
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 …
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 …
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 …
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 …
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) …
(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
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 …
popularity in recent times. The unbeatable accuracy of deep learning algorithms often …