A comprehensive survey on data utility and privacy: taking Indian healthcare system as a potential case study
P Churi, A Pawar, AJ Moreno-Guerrero - Inventions, 2021 - mdpi.com
Background: According to the renowned and Oscar award-winning American actor and film
director Marlon Brando,“privacy is not something that I am merely entitled to, it is an absolute …
director Marlon Brando,“privacy is not something that I am merely entitled to, it is an absolute …
Skin lesion classification system using a K-nearest neighbor algorithm
MQ Hatem - Visual Computing for Industry, Biomedicine, and Art, 2022 - Springer
One of the most critical steps in medical health is the proper diagnosis of the disease.
Dermatology is one of the most volatile and challenging fields in terms of diagnosis …
Dermatology is one of the most volatile and challenging fields in terms of diagnosis …
[HTML][HTML] A novel end-to-end deep convolutional neural network based skin lesion classification framework
Background: Skin diseases are reported to contribute 1.79% of the global burden of disease.
The accurate diagnosis of specific skin diseases is known to be a challenging task due, in …
The accurate diagnosis of specific skin diseases is known to be a challenging task due, in …
An extensive investigation of convolutional neural network designs for the diagnosis of lumpy skin disease in dairy cows
DK Saha - Heliyon, 2024 - cell.com
Cow diseases are a major source of concern for people. Some diseases in animals that are
discovered in their early stages can be treated while they are still treatable. If lumpy skin …
discovered in their early stages can be treated while they are still treatable. If lumpy skin …
Skin disease classification using machine learning algorithms
KV Swamy, B Divya - 2021 2nd International Conference on …, 2021 - ieeexplore.ieee.org
Skin diseases are the large number of spread diseases in the world. Their diagnoses are
very difficult because of its difficulties in skin texture, presence of hair on skin and color. It is …
very difficult because of its difficulties in skin texture, presence of hair on skin and color. It is …
Deep learning based classification of dermatological disorders
L AlSuwaidan - Biomedical Engineering and Computational …, 2023 - journals.sagepub.com
Automated medical diagnosis has become crucial and significantly supports medical
doctors. Thus, there is a demand for inventing deep learning (DL) and convolutional …
doctors. Thus, there is a demand for inventing deep learning (DL) and convolutional …
Skin disease classification using CNN algorithms
R Agarwal, D Godavarthi - EAI Endorsed Transactions on Pervasive Health …, 2023 - eudl.eu
INTRODUCTION: Dermatological disorders, particularly human skin diseases, have become
more common in recent decades. Environmental factors, socioeconomic problems, a lack of …
more common in recent decades. Environmental factors, socioeconomic problems, a lack of …
[PDF][PDF] Six skin diseases classification using deep convolutional neural network
Additionally, we constructed a dataset of 3000 colored images from several online datasets
and the Internet. Experimental results are encouraging, where the proposed model achieved …
and the Internet. Experimental results are encouraging, where the proposed model achieved …
Comparison of psoriasis disease detection and classification through various image processing techniques-a review
L Vincent, JR Jayasingh - 2022 6th International Conference on …, 2022 - ieeexplore.ieee.org
Skin disease is the major problem that we facing today. There are many reasons for skin
diseases such as food, water, environmental conditions and so on. Among such diseases …
diseases such as food, water, environmental conditions and so on. Among such diseases …
[PDF][PDF] Skin disease classification using machine learning algorithms
The most prevalent illnesses in the world are skin diseases. Their tough skin texture,
presence of hair on the skin, and colour make diagnosis exceedingly challenging. To …
presence of hair on the skin, and colour make diagnosis exceedingly challenging. To …