Transformers in medical imaging: A survey
Following unprecedented success on the natural language tasks, Transformers have been
successfully applied to several computer vision problems, achieving state-of-the-art results …
successfully applied to several computer vision problems, achieving state-of-the-art results …
[HTML][HTML] Transformers in medical image analysis
Transformers have dominated the field of natural language processing and have recently
made an impact in the area of computer vision. In the field of medical image analysis …
made an impact in the area of computer vision. In the field of medical image analysis …
GeneViT: Gene vision transformer with improved DeepInsight for cancer classification
Abstract Analysis of gene expression data is crucial for disease prognosis and diagnosis.
Gene expression data has high redundancy and noise that brings challenges in extracting …
Gene expression data has high redundancy and noise that brings challenges in extracting …
[Retracted] Explainable AI in Diagnosing and Anticipating Leukemia Using Transfer Learning Method
WH Abir, MF Uddin, FR Khanam, T Tazin… - Computational …, 2022 - Wiley Online Library
White blood cells (WBCs) are blood cells that fight infections and diseases as a part of the
immune system. They are also known as “defender cells.” But the imbalance in the number …
immune system. They are also known as “defender cells.” But the imbalance in the number …
A deep learning framework for leukemia cancer detection in microscopic blood samples using squeeze and excitation learning
Leukemia is a fatal category of cancer‐related disease that affects individuals of all ages,
including children and adults, and is a significant cause of death worldwide. Particularly, it is …
including children and adults, and is a significant cause of death worldwide. Particularly, it is …
Customized deep learning classifier for detection of acute lymphoblastic leukemia using blood smear images
N Sampathila, K Chadaga, N Goswami, RP Chadaga… - Healthcare, 2022 - mdpi.com
Acute lymphoblastic leukemia (ALL) is a rare type of blood cancer caused due to the
overproduction of lymphocytes by the bone marrow in the human body. It is one of the …
overproduction of lymphocytes by the bone marrow in the human body. It is one of the …
A systematic review on acute leukemia detection using deep learning techniques
Acute leukemia is a cancer that starts in the bone marrow and is characterized by an
abnormal growth of white blood cells. It is a disease that affects people all over the world …
abnormal growth of white blood cells. It is a disease that affects people all over the world …
An efficient strategy for blood diseases detection based on grey wolf optimization as feature selection and machine learning techniques
Acute Lymphoblastic Leukemia (ALL) is a cancer that infects the blood cells causing the
development of lymphocytes in large numbers. Diagnostic tests are costly and very time …
development of lymphocytes in large numbers. Diagnostic tests are costly and very time …
[HTML][HTML] An efficient EGWO algorithm as feature selection for B-ALL diagnoses and its subtypes classification using peripheral blood smear images
Acute lymphoblastic leukemia (ALL) is the most serious type of leukemia that develops
because it causes an abnormal increase in the production of immature white blood cells in …
because it causes an abnormal increase in the production of immature white blood cells in …
Dual deep cnn for tumor brain classification
AM Al-Zoghby, EMK Al-Awadly, A Moawad, N Yehia… - Diagnostics, 2023 - mdpi.com
Brain tumor (BT) is a serious issue and potentially deadly disease that receives much
attention. However, early detection and identification of tumor type and location are crucial …
attention. However, early detection and identification of tumor type and location are crucial …