Morphological diagnosis of hematologic malignancy using feature fusion-based deep convolutional neural network
Abstract Leukemia is a cancer of white blood cells characterized by immature lymphocytes. Due to blood cancer, many people die every year. Hence, the early detection of these blast cells is necessary for avoiding blood cancer. A novel deep convolutional neural network (CNN) 3SNet that has depth-wise...
Main Authors: | D. P. Yadav, Deepak Kumar, Anand Singh Jalal, Ankit Kumar, Kamred Udham Singh, Mohd Asif Shah |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-10-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-023-44210-7 |
Similar Items
-
A Clinical Data Analysis Based Diagnostic Systems for Heart Disease Prediction Using Ensemble Method
by: Ankit Kumar, et al.
Published: (2023-12-01) -
Spatial attention-based residual network for human burn identification and classification
by: D. P. Yadav, et al.
Published: (2023-08-01) -
Distinctive approach in brain tumor detection and feature extraction using biologically inspired DWT method and SVM
by: Ankit Kumar, et al.
Published: (2023-12-01) -
Enhancing IoT Security through a Green and Sustainable Federated Learning Platform: Leveraging Efficient Encryption and the Quondam Signature Algorithm
by: Turki Aljrees, et al.
Published: (2023-09-01) -
Secure NIfTI Image Authentication Scheme for Modern Healthcare System
by: Kamred Udham Singh, et al.
Published: (2023-04-01)