A systematic review on recent advancements in deep and machine learning based detection and classification of acute lymphoblastic leukemia
Automatic Leukemia or blood cancer detection is a challenging job and is very much
required in healthcare centers. It has a significant role in early diagnosis and treatment …
required in healthcare centers. It has a significant role in early diagnosis and treatment …
Comparative analysis of machine learning and deep learning models for improved cancer detection: A comprehensive review of recent advancements in diagnostic …
Cancer remains a leading reason of mortality, with the current global death toll estimated at
10 million and projected to surpass 16 million by 2040 as reported by the World Health …
10 million and projected to surpass 16 million by 2040 as reported by the World Health …
A lightweight deep learning system for automatic detection of blood cancer
Microscopic analysis of blood-cells is an essential and vital task for the early diagnosis of life-
threatening hematological disorders like blood cancer (leukemia). We have presented an …
threatening hematological disorders like blood cancer (leukemia). We have presented an …
Blood cancer prediction using leukemia microarray gene data and hybrid logistic vector trees model
Blood cancer has been a growing concern during the last decade and requires early
diagnosis to start proper treatment. The diagnosis process is costly and time-consuming …
diagnosis to start proper treatment. The diagnosis process is costly and time-consuming …
Assessing the impact of data augmentation and a combination of CNNs on leukemia classification
ML Claro, R de MS Veras, AM Santana, LHS Vogado… - Information …, 2022 - Elsevier
An accurate early-stage leukemia diagnosis plays a critical role in treating and saving
patients' lives. The two primary forms of leukemia are acute and chronic leukemia, which is …
patients' lives. The two primary forms of leukemia are acute and chronic leukemia, which is …
[PDF][PDF] A YOLO and convolutional neural network for the detection and classification of leukocytes in leukemia
SM Abas, AM Abdulazeez… - Indonesian Journal of …, 2022 - researchgate.net
The developing of deep learning systems that used for chronic diseases diagnosing is
challenge. Furthermore, the localization and identification of objects like white blood cells …
challenge. Furthermore, the localization and identification of objects like white blood cells …
A review on leukemia detection and classification using Artificial Intelligence-based techniques
Leukemia is a type of cancer affecting blood-forming tissues, where timely diagnosis is
crucial for early intervention and better treatment outcomes. Traditional detection methods …
crucial for early intervention and better treatment outcomes. Traditional detection methods …
Optimizing a deep residual neural network with genetic algorithm for acute lymphoblastic leukemia classification
Acute lymphoblastic leukemia (ALL) is the most common childhood cancer worldwide, and it
is characterized by the production of immature malignant cells in the bone marrow …
is characterized by the production of immature malignant cells in the bone marrow …
A novel deep learning framework (DLF) for classification of acute lymphoblastic leukemia
S Chand, VP Vishwakarma - Multimedia Tools and Applications, 2022 - Springer
Cancer of blood, more specifically known as Leukemia, is a deadly disease that is
responsible for the abnormal proliferation of immature white blood cells in bone marrow …
responsible for the abnormal proliferation of immature white blood cells in bone marrow …
A deep learning-based approach for the diagnosis of acute lymphoblastic leukemia
A Saeed, S Shoukat, K Shehzad, I Ahmad… - Electronics, 2022 - mdpi.com
Leukemia is a deadly disease caused by the overproduction of immature white blood cells
(WBS) in the bone marrow. If leukemia is detected at the initial stages, the chances of …
(WBS) in the bone marrow. If leukemia is detected at the initial stages, the chances of …