The roles of cloud-based systems on the cancer-related studies: a systematic literature review
B Xu, F Zhou - IEEE Access, 2022 - ieeexplore.ieee.org
The advances in wireless-based technologies and intelligent diagnostics and forecasting
such as cloud computing have significantly affected our lifestyle, observed in many fields …
such as cloud computing have significantly affected our lifestyle, observed in many fields …
Skin lesion analysis towards melanoma detection using optimized deep learning network
ST Sukanya, S Jerine - Multimedia Tools and Applications, 2023 - Springer
The deadliest form of skin lesion is known as melanoma. Detection of melanoma at earlier
stages significantly raises the rate of survival. Nevertheless, the precise detection of …
stages significantly raises the rate of survival. Nevertheless, the precise detection of …
Hybrid optimization assisted deep ensemble classification framework for skin cancer detection
IR Pukhta, RK Rout - Multimedia Tools and Applications, 2024 - Springer
In 2018, there were 1 million occurrences of non-melanoma cancer and 288,000
occurrences of malignant skin cancer (MM) recorded worldwide. Given the aging of the …
occurrences of malignant skin cancer (MM) recorded worldwide. Given the aging of the …
Detection of skin cancer with adaptive fuzzy classifier using improved whale optimization
N Durgarao, G Sudhavani - Biomedical Engineering/Biomedizinische …, 2020 - degruyter.com
Skin cancer is considered as a well-known type of cancer globally, and its occurrence has
been found to be raised in current days. Researchers state that the disease requires early …
been found to be raised in current days. Researchers state that the disease requires early …
Optimized Deep CNN with Deviation Relevance-based LBP for Skin Cancer Detection: Hybrid Metaheuristic Enabled Feature Selection
BKM Enturi, A Suhasini, N Satyala - International Journal of Image …, 2024 - World Scientific
Segmentation of skin lesions is a significant and demanding task in dermoscopy images.
This paper proposes a new skin cancer recognition scheme, with:“Pre-processing …
This paper proposes a new skin cancer recognition scheme, with:“Pre-processing …
Image-Based Skin Cancer Early Detection using CNN Algorithm
S Johan, F Natalia, FV Ferdinand… - 2021 6th International …, 2021 - ieeexplore.ieee.org
Skin cancer is one of the most commonly diagnosed types of cancer in the world with a high
rate of mortality. The high mortality rate is usually caused by late treatment. An early …
rate of mortality. The high mortality rate is usually caused by late treatment. An early …
Quality enhancement of multispectral images for skin cancer optical diagnostics
K Bolochko, D Bliznuks, I Lihacova… - Optics, Photonics, and …, 2018 - spiedigitallibrary.org
Melanoma is the least common but deadliest skin cancer, accounting for only about 1% of all
cases, but is the cause of the vast majority of skin cancer death. In some parts of the world …
cases, but is the cause of the vast majority of skin cancer death. In some parts of the world …
[PDF][PDF] SKIN CANCER PREDICTION WITH OPTIMIZED RNN VIA TUNICATE SWARM ALGORITHM
P Gomathi - academia.edu
Skin lesion segmentation is a vital task in diagnosing the skin images. This research intends
to suggest a scheme for detecting skin cancers that encompasses three …
to suggest a scheme for detecting skin cancers that encompasses three …
Non-contact Skin Cancer Diagnostic System: Results and Challenges Running Cloud Based Diagnostics
D Bliznuks, P Osipovs, I Lihacova, I Kuzmina - Developments in Optics and … - docriga.lv
During the past two years, a team of multidisciplinary scientists developed a scalable cloud-
based skin cancer diagnostic system [1]. The accuracy of the analysis is comparable to the …
based skin cancer diagnostic system [1]. The accuracy of the analysis is comparable to the …