[HTML][HTML] Multiclass blood cancer classification using deep CNN with optimized features
Breast cancer, lung cancer, skin cancer, and blood malignancies such as leukemia and
lymphoma are just a few instances of cancer, which is a collection of cells that proliferate …
lymphoma are just a few instances of cancer, which is a collection of cells that proliferate …
Holistic evaluation of gpt-4v for biomedical imaging
In this paper, we present a large-scale evaluation probing GPT-4V's capabilities and
limitations for biomedical image analysis. GPT-4V represents a breakthrough in artificial …
limitations for biomedical image analysis. GPT-4V represents a breakthrough in artificial …
An Intelligent telediagnosis of acute lymphoblastic leukemia using histopathological deep learning
MTH Khan Tusar, MT Islam, AH Sakil… - Journal of …, 2024 - dl.futuretechsci.org
Leukemia, a global health challenge characterized by malignant blood cell proliferation,
demands innovative diagnostic techniques due to its increasing incidence. Among leukemia …
demands innovative diagnostic techniques due to its increasing incidence. Among leukemia …
Uncertainty quantification for MLP-mixer using Bayesian deep learning
Convolutional neural networks (CNNs) have become a popular choice for various image
classification applications. However, the multi-layer perceptron mixer (MLP-Mixer) …
classification applications. However, the multi-layer perceptron mixer (MLP-Mixer) …
Automated detection of acute lymphoblastic leukemia subtypes from microscopic blood smear images using Deep Neural Networks
MTHK Tusar, RK Anik - arXiv preprint arXiv:2208.08992, 2022 - arxiv.org
An estimated 300,000 new cases of leukemia are diagnosed each year which is 2.8 percent
of all new cancer cases and the prevalence is rising day by day. The most dangerous and …
of all new cancer cases and the prevalence is rising day by day. The most dangerous and …
Application of machine learning in breast cancer survival prediction using a multimethod approach
Breast cancer is one of the most prevalent cancers with an increasing trend in both
incidence and mortality rates in Iran. Survival analysis is a pivotal measure in setting …
incidence and mortality rates in Iran. Survival analysis is a pivotal measure in setting …
[HTML][HTML] Exploring simple triplet representation learning
Fully supervised learning methods necessitate a substantial volume of labelled training
instances, a process that is typically both labour-intensive and costly. In the realm of medical …
instances, a process that is typically both labour-intensive and costly. In the realm of medical …
A novel deep learning segmentation and classification Framework for leukemia diagnosis
Blood cancer occurs due to changes in white blood cells (WBCs). These changes are known
as leukemia. Leukemia occurs mostly in children and affects their tissues or plasma …
as leukemia. Leukemia occurs mostly in children and affects their tissues or plasma …
A large-scale multi domain leukemia dataset for the white blood cells detection with morphological attributes for explainability
Earlier diagnosis of Leukemia can save thousands of lives annually. The prognosis of
leukemia is challenging without the morphological information of White Blood Cells (WBC) …
leukemia is challenging without the morphological information of White Blood Cells (WBC) …
A New Model for Blood Cancer Classification Based on Deep Learning Techniques
M Hagar, FK Elsheref, SR Kamal - International Journal of …, 2023 - search.proquest.com
Artificial intelligence and deep learning algorithms have become essential fields in medical
science. These algorithms help doctors detect diseases early, reduce the incidence of …
science. These algorithms help doctors detect diseases early, reduce the incidence of …