A survey of audio enhancement algorithms for music, speech, bioacoustics, biomedical, industrial and environmental sounds by image U-Net
S Gul, MS Khan - IEEE Access, 2023 - ieeexplore.ieee.org
The recent surge in the use of Deep Neural Networks (DNNs) has also made its mark in the
field of Audio Enhancement (AE), providing much better quality than the classical methods …
field of Audio Enhancement (AE), providing much better quality than the classical methods …
Hybrid techniques for the diagnosis of acute lymphoblastic leukemia based on fusion of CNN features
Acute lymphoblastic leukemia (ALL) is one of the deadliest forms of leukemia due to the
bone marrow producing many white blood cells (WBC). ALL is one of the most common …
bone marrow producing many white blood cells (WBC). ALL is one of the most common …
CoTCoNet: An optimized coupled transformer-convolutional network with an adaptive graph reconstruction for leukemia detection
Background: Swift and accurate blood smear analyses are crucial for diagnosing leukemia
and other hematological malignancies. However, manual leukocyte count and …
and other hematological malignancies. However, manual leukocyte count and …
A2M-LEUK: attention-augmented algorithm for blood cancer detection in children
Leukemia is a malignancy that affects the blood and bone marrow. Its detection and
classification are conventionally done through labor-intensive and specialized methods. The …
classification are conventionally done through labor-intensive and specialized methods. The …
A Framework for Segmentation and Classification of Blood Cells Using Generative Adversarial Networks
Blood smear analysis is often used to diagnose diseases like malaria, Anemia, Leukemia,
etc. Morphological changes, such as size, shapes, and color, are receiving much attention in …
etc. Morphological changes, such as size, shapes, and color, are receiving much attention in …
Intelligent leaf disease diagnosis: image algorithms using Swin Transformer and federated learning
H Zhang, G Ren - The Visual Computer, 2024 - Springer
In recent years, the international population has surged which has led to increased pressure
on food security. Plant diseases are one of the most essential factors affecting food security …
on food security. Plant diseases are one of the most essential factors affecting food security …
Refinement of ensemble strategy for acute lymphoblastic leukemia microscopic images using hybrid CNN-GRU-BiLSTM and MSVM classifier
Acute lymphocytic leukemia (ALL) is a common serious cancer in white blood cells (WBC)
that advances quickly and produces abnormal cells in the bone marrow. Cancerous cells …
that advances quickly and produces abnormal cells in the bone marrow. Cancerous cells …
Leukemia Blood Cell Image Classification Using Machine Learning-A Systematic Literature Review
ZM Mohammed, EZ Mohammed - Journal of Advanced Sciences and …, 2023 - joasnt.com
A rise in the quantity of young blood cells in the both blood and bone marrow is the primary
cause of leukemia, a malignant condition that affects the system that produces blood. This …
cause of leukemia, a malignant condition that affects the system that produces blood. This …
Csec-net: a novel deep features fusion and entropy-controlled firefly feature selection framework for leukemia classification
Leukemia, a life-threatening form of cancer, poses a significant global health challenge
affecting individuals of all age groups, including both children and adults. Currently, the …
affecting individuals of all age groups, including both children and adults. Currently, the …
[HTML][HTML] Harnessing deep learning for blood quality assurance through complete blood cell count detection
L Kamal, RJR Raj - e-Prime-Advances in Electrical Engineering …, 2024 - Elsevier
Accurate evaluation of blood cells plays a pivotal role in assessing immune system
functionality and diagnosing various disorders. While complete blood counts (CBCs) can be …
functionality and diagnosing various disorders. While complete blood counts (CBCs) can be …