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 …
Classification of sub-type of lymphoma using deep learning
PB Thorat - 2020 - norma.ncirl.ie
The accurate identification and categorization of cancer structure or sub-type is an important
task because of considerable workload and expertise in pathological skills. The current …
task because of considerable workload and expertise in pathological skills. The current …
Accurate diagnosis of non-Hodgkin lymphoma on whole-slide images using deep learning
H Khelil, L Djerou - 2022 IEEE 9th International Conference …, 2022 - ieeexplore.ieee.org
Digital Pathology is the technique of digitizing histology slides to create high-resolution
images. One of the important applications for digital pathology is tissue level classification …
images. One of the important applications for digital pathology is tissue level classification …
CLAHE Performance on Histogram-Based Features for Lymphoma Classification using KNN Algorithm
Immunohistochemistry or IHC is a method for gaining better diagnosis on lymphoma
patients. Early diagnosis is needed to enhance their survival rate by giving the right …
patients. Early diagnosis is needed to enhance their survival rate by giving the right …
Analysis of the influence of color normalization in the classification of non-hodgkin lymphoma images
In this work, a method is proposed to analyze the influence of color normalization in the
classification lymphoma images. The approach combines multidimensional fractal …
classification lymphoma images. The approach combines multidimensional fractal …
Decision support system for lymphoma classification
A ES Negm, AH Kandil… - Current Medical …, 2017 - ingentaconnect.com
The diffuse lymphoma is a malignant tumor of lymphoid tissues. It is associated with
abnormal, unlimited and uncontrolled proliferation of lymphoid cells. Until now, expert …
abnormal, unlimited and uncontrolled proliferation of lymphoid cells. Until now, expert …
[HTML][HTML] 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 …
[HTML][HTML] 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 …
Automatic detection of white blood cells from microscopic images for malignancy classification of acute lymphoblastic leukemia
Leukemia is a group of cancers that typically begins in the bone marrow that usually affects
both the children and the adults and remains a leading cause of fatality to death around the …
both the children and the adults and remains a leading cause of fatality to death around the …
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 …