Review of the state of the art of deep learning for plant diseases: A broad analysis and discussion
Deep learning (DL) represents the golden era in the machine learning (ML) domain, and it
has gradually become the leading approach in many fields. It is currently playing a vital role …
has gradually become the leading approach in many fields. It is currently playing a vital role …
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 …
High accuracy hybrid CNN classifiers for breast cancer detection using mammogram and ultrasound datasets
Breast cancer is a significant cause of cancer fatality among women all over the world.
Hence the detection of this disease at the initial stage works as a boon to the patient so that …
Hence the detection of this disease at the initial stage works as a boon to the patient so that …
An efficient deep convolutional neural network based detection and classification of acute lymphoblastic leukemia
Automated and accurate diagnosis of Acute Lymphoblastic Leukemia (ALL), blood cancer, is
a challenging task. Nowadays, Convolutional Neural Networks (CNNs) have become a …
a challenging task. Nowadays, Convolutional Neural Networks (CNNs) have become a …
Deep learning models for classification of red blood cells in microscopy images to aid in sickle cell anemia diagnosis
Sickle cell anemia, which is also called sickle cell disease (SCD), is a hematological
disorder that causes occlusion in blood vessels, leading to hurtful episodes and even death …
disorder that causes occlusion in blood vessels, leading to hurtful episodes and even death …
An efficient deep learning scheme to detect breast cancer using mammogram and ultrasound breast images
Breast cancer is the second major reason of death among women around the world. Early
and accurate breast cancer detection is important for proper treatment planning to save a …
and accurate breast cancer detection is important for proper treatment planning to save a …
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 …
An efficient blood-cell segmentation for the detection of hematological disorders
The automatic segmentation of blood cells for detecting hematological disorders is a crucial
job. It has a vital role in diagnosis, treatment planning, and output evaluation. The existing …
job. It has a vital role in diagnosis, treatment planning, and output evaluation. The existing …
An efficient detection and classification of acute leukemia using transfer learning and orthogonal softmax layer-based model
For the early diagnosis of hematological disorders like blood cancer, microscopic analysis of
blood cells is very important. Traditional deep CNNs lead to overfitting when it receives …
blood cells is very important. Traditional deep CNNs lead to overfitting when it receives …
[HTML][HTML] Artificial intelligence in sickle disease
AA Elsabagh, M Elhadary, B Elsayed, AM Elshoeibi… - Blood Reviews, 2023 - Elsevier
Artificial intelligence (AI) is rapidly becoming an established arm in medical sciences and
clinical practice in numerous medical fields. Its implications have been rising and are being …
clinical practice in numerous medical fields. Its implications have been rising and are being …