A state-of-the-art survey on deep learning methods for detection of architectural distortion from digital mammography
ON Oyelade, AES Ezugwu - IEEE access, 2020 - ieeexplore.ieee.org
Breast cancer is a type of cancer that has risen to be the second cause of death among
women. Classification of breast tissues into normal, benign, or malignant depends on the …
women. Classification of breast tissues into normal, benign, or malignant depends on the …
An automated diabetic retinopathy of severity grade classification using transfer learning and fine-tuning for fundus images
Diabetes mellitus Retinopathy (DR) has recently become a major health problem, and its
complications are also increasing worldwide. Early diagnosis of DR is essential to determine …
complications are also increasing worldwide. Early diagnosis of DR is essential to determine …
[PDF][PDF] An optimized architecture of image classification using convolutional neural network
The convolutional neural network (CNN) is the type of deep neural networks which has been
widely used in visual recognition. Over the years, CNN has gained lots of attention due to its …
widely used in visual recognition. Over the years, CNN has gained lots of attention due to its …
A framework for automatic building detection from low-contrast satellite images
Building detection in satellite images has been considered an essential field of research in
remote sensing and computer vision. There are currently numerous techniques and …
remote sensing and computer vision. There are currently numerous techniques and …
Single image dehazing using extended local dark channel prior
P Dwivedi, S Chakraborty - Image and Vision Computing, 2023 - Elsevier
Image dehazing is an important technique aimed at eliminating the haze in the atmosphere
to enhance the image's visual quality. There are many applications where it has been used …
to enhance the image's visual quality. There are many applications where it has been used …
Real-time camera-based eye gaze tracking using convolutional neural network: a case study on social media website
Eye gaze tracking plays an important role in various fields including, human computer
interaction, virtual and augmented reality and in identifying effective marketing solutions in …
interaction, virtual and augmented reality and in identifying effective marketing solutions in …
[PDF][PDF] An Object Detection Framework Based on Deep Features and High-Quality Object Locations.
Accepted: 5 May 2021 Objection detection has long been a fundamental issue in computer
vision. Despite being widely studied, it remains a challenging task in the current body of …
vision. Despite being widely studied, it remains a challenging task in the current body of …
Transparent and Interpretable State of Health Forecasting of Lithium‐Ion Batteries with Deep Learning and Saliency Maps
Batteries are the most expensive component of battery electric vehicles (BEVs), but they
degrade over time and battery operation. State of health (SOH) forecasting models learn …
degrade over time and battery operation. State of health (SOH) forecasting models learn …
A hybrid proposed framework for object detection and classification
The object classification using the images' contents is a big challenge in computer vision.
The superpixels' information can be used to detect and classify objects in an image based …
The superpixels' information can be used to detect and classify objects in an image based …
A survey on content aware image resizing methods
A Garg, A Negi - KSII Transactions on Internet and Information …, 2020 - koreascience.kr
With the advancement in the field of image processing, images are being processed using
various image processing algorithms. Nowadays, many efficient content-aware image …
various image processing algorithms. Nowadays, many efficient content-aware image …