[HTML][HTML] Application of artificial intelligence in chronic myeloid leukemia (CML) disease prediction and management: a scoping review

M Ram, MR Afrash, K Moulaei, M Parvin, E Esmaeeli… - BMC cancer, 2024 - Springer
Background Navigating the complexity of chronic myeloid leukemia (CML) diagnosis and
management poses significant challenges, including the need for accurate prediction of …

Leukemia segmentation and classification: A comprehensive survey

S Saleem, J Amin, M Sharif, GA Mallah, S Kadry… - Computers in Biology …, 2022 - Elsevier
Blood is made up of leukocytes (WBCs), erythrocytes (RBCs), and thrombocytes. The ratio of
blood cancer diseases is increasing rapidly, among which leukemia is one of the famous …

[HTML][HTML] A new artificial intelligence approach using extreme learning machine as the potentially effective model to predict and analyze the diagnosis of anemia

DCE Saputra, K Sunat, T Ratnaningsih - Healthcare, 2023 - mdpi.com
The procedure to diagnose anemia is time-consuming and resource-intensive due to the
existence of a multitude of symptoms that can be felt physically or seen visually. Anemia also …

[HTML][HTML] Vision-transformer-based transfer learning for mammogram classification

G Ayana, K Dese, Y Dereje, Y Kebede, H Barki… - Diagnostics, 2023 - mdpi.com
Breast mass identification is a crucial procedure during mammogram-based early breast
cancer diagnosis. However, it is difficult to determine whether a breast lump is benign or …

[HTML][HTML] A customized efficient deep learning model for the diagnosis of acute leukemia cells based on lymphocyte and monocyte images

S Ansari, AH Navin, AB Sangar, JV Gharamaleki… - Electronics, 2023 - mdpi.com
The production of blood cells is affected by leukemia, a type of bone marrow cancer or blood
cancer. Deoxyribonucleic acid (DNA) is related to immature cells, particularly white cells …

Automated detection and classification of leukemia on a subject-independent test dataset using deep transfer learning supported by Grad-CAM visualization

A Abhishek, RK Jha, R Sinha, K Jha - Biomedical Signal Processing and …, 2023 - Elsevier
Leukemia is a type of cancer that affects blood cells and causes fatal infection and
premature death. Modern technology enabled by the machine and advanced deep learning …

[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 …

Deep learning for the detection of acute lymphoblastic leukemia subtypes on microscopic images: A systematic literature review

T Mustaqim, C Fatichah, N Suciati - IEEE Access, 2023 - ieeexplore.ieee.org
Computer vision research in detecting and classifying the subtype Acute Lymphoblastic
Leukemia (ALL) has contributed to computer-aided diagnosis with improved accuracy …

A content-based image retrieval system for the diagnosis of lymphoma using blood micrographs: An incorporation of deep learning with a traditional learning …

MR Reena, PM Ameer - Computers in Biology and Medicine, 2022 - Elsevier
Lymphomas, or cancers of the lymphatic system, account for around half of all blood cancers
diagnosed each year. Lymphoma is a condition that is difficult to diagnose, and accurate …

[HTML][HTML] Artificial intelligence-based prediction for cancer-related outcomes in Africa: status and potential refinements

J Adeoye, A Akinshipo, P Thomson… - Journal of Global …, 2022 - ncbi.nlm.nih.gov
2021 Deep learning Detection of HSIL and LSIL in cervical cancer Phase I-III Internal
0.97[18] 2018 Machine learning Breast cancer staging Phase I, II, IV NIL 0.84[19] 2021 …