Remote sensing image classification: A comprehensive review and applications
Remote sensing is mainly used to investigate sites of dams, bridges, and pipelines to locate
construction materials and provide detailed geographic information. In remote sensing …
construction materials and provide detailed geographic information. In remote sensing …
Automated glaucoma screening and diagnosis based on retinal fundus images using deep learning approaches: A comprehensive review
Glaucoma is a chronic eye disease that may lead to permanent vision loss if it is not
diagnosed and treated at an early stage. The disease originates from an irregular behavior …
diagnosed and treated at an early stage. The disease originates from an irregular behavior …
Satellite and scene image classification based on transfer learning and fine tuning of ResNet50
Image classification has gained lot of attention due to its application in different computer
vision tasks such as remote sensing, scene analysis, surveillance, object detection, and …
vision tasks such as remote sensing, scene analysis, surveillance, object detection, and …
A deep learning framework for leukemia cancer detection in microscopic blood samples using squeeze and excitation learning
Leukemia is a fatal category of cancer‐related disease that affects individuals of all ages,
including children and adults, and is a significant cause of death worldwide. Particularly, it is …
including children and adults, and is a significant cause of death worldwide. Particularly, it is …
Multi-stage glaucoma classification using pre-trained convolutional neural networks and voting-based classifier fusion
VK Velpula, LD Sharma - Frontiers in Physiology, 2023 - frontiersin.org
Aim: To design an automated glaucoma detection system for early detection of glaucoma
using fundus images. Background: Glaucoma is a serious eye problem that can cause vision …
using fundus images. Background: Glaucoma is a serious eye problem that can cause vision …
Handwritten Urdu characters and digits recognition using transfer learning and augmentation with AlexNet
Automated recognition of handwritten characters and digits is a challenging task. Although a
significant amount of literature exists for automatic recognition of handwritten characters of …
significant amount of literature exists for automatic recognition of handwritten characters of …
Retinal blood vessel segmentation using pixel-based feature vector
A lot of important disease information can be accessed by performing retinal blood vessel
analysis on fundus images. Diabetic retinopathy is one of the diseases understood by retinal …
analysis on fundus images. Diabetic retinopathy is one of the diseases understood by retinal …
Retinal Fundus Multi-Disease Image Dataset (RFMiD) 2.0: a dataset of frequently and rarely identified diseases
Irreversible vision loss is a worldwide threat. Developing a computer-aided diagnosis
system to detect retinal fundus diseases is extremely useful and serviceable to …
system to detect retinal fundus diseases is extremely useful and serviceable to …
Face detection & recognition from images & videos based on CNN & Raspberry Pi
The amount of multimedia content is growing exponentially and a major portion of
multimedia content uses images and video. Researchers in the computer vision community …
multimedia content uses images and video. Researchers in the computer vision community …
COVID-19 vaccines related user's response categorization using machine learning techniques
Respiratory viruses known as coronaviruses infect people and cause death. The multiple
crown-like spikes on the virus's surface give them the name “corona”. The pandemic has …
crown-like spikes on the virus's surface give them the name “corona”. The pandemic has …