[HTML][HTML] Revolutionizing chronic lymphocytic leukemia diagnosis: A deep dive into the diverse applications of machine learning
M Elhadary, AM Elshoeibi, A Badr, B Elsayed… - Blood Reviews, 2023 - Elsevier
Chronic lymphocytic leukemia (CLL) is a B cell neoplasm characterized by the accumulation
of aberrant monoclonal B lymphocytes. CLL is the predominant type of leukemia in Western …
of aberrant monoclonal B lymphocytes. CLL is the predominant type of leukemia in Western …
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 …
A novel lightweight deep learning-based histopathological image classification model for IoMT
The unavailability of appropriate mechanisms for timely detection of diseases and
successive treatment causes the death of a large number of people around the globe. The …
successive treatment causes the death of a large number of people around the globe. The …
Automated decision support system for detection of leukemia from peripheral blood smear images
Peripheral blood smear analysis plays a vital role in diagnosing many diseases including
cancer. Leukemia is a type of cancer which begins in bone marrow and results in increased …
cancer. Leukemia is a type of cancer which begins in bone marrow and results in increased …
Extreme learning machine based differentiation of pulmonary tuberculosis in chest radiographs using integrated local feature descriptors
S Govindarajan, R Swaminathan - Computer methods and programs in …, 2021 - Elsevier
Abstract Background and Objective Computer aided diagnostics of Pulmonary Tuberculosis
in chest radiographs relies on the differentiation of subtle and non-specific alterations in the …
in chest radiographs relies on the differentiation of subtle and non-specific alterations in the …
[HTML][HTML] Neutrosophic graph cut-based segmentation scheme for efficient cervical cancer detection
MA Devi, JI Sheeba, KS Joseph - … of King Saud University-Computer and …, 2022 - Elsevier
Cervical cancer is the most serious category of cancer that has very low survival rate in the
women's community around the globe. This survival probability of women society affected by …
women's community around the globe. This survival probability of women society affected by …
COVID-19 discrimination framework for X-ray images by considering radiomics, selective information, feature ranking, and a novel hybrid classifier
H Koyuncu, M Barstuğan - Signal Processing: Image Communication, 2021 - Elsevier
In medical imaging procedures for the detection of coronavirus, apart from medical tests,
approval of diagnosis has special significance. Imaging procedures are also useful for …
approval of diagnosis has special significance. Imaging procedures are also useful for …
A hermite polynomial algorithm for detection of lesions in lymphoma images
There are different types of lesions that can be investigated with the hematoxylin–eosin
staining protocol. Lymphoma is a type of malignant disease which affects one of the highest …
staining protocol. Lymphoma is a type of malignant disease which affects one of the highest …
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 …
Classification of non-Hodgkin lymphomas based on sample entropy signatures
Computational systems to provide studies and diagnoses of non-Hodgkin's lymphomas
have been increasingly developed to assist specialists in their decision-making. On the …
have been increasingly developed to assist specialists in their decision-making. On the …