过去一年中添加的文章，按日期排序
AC-Skin: Facial Acne Detection-based on Intelligent Learning Over Large Data Collection via Internet of Things (IoT) for Smart Skincare
U Khalid, C Li, AA Khan, F Mehmood - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
23 天前 - … This work offers a new paradigm for intelligent learning in … of challenges mentioned
in this paper, is mainly based on … Diagnosis of skin diseases in the era of deep learning and …
in this paper, is mainly based on … Diagnosis of skin diseases in the era of deep learning and …
Saliency-guided and Patch-based Mixup for Long-tailed Skin Cancer Image Classification
T Wei, Y Huang, L Lin, P Cheng, S Li… - arXiv preprint arXiv …, 2024 - arxiv.org
26 天前 - … challenges such as overfitting to tail classes or difficulties in optimization during
training. In this work… Training deep learning models on such imbalanced datasets presents inher…
training. In this work… Training deep learning models on such imbalanced datasets presents inher…
[PDF][PDF] Deep Learning-based Multi Class Classification of Skin Disease for Advancement in Dermatological Imaging
KS Rao, B Sohit, TGO Singh, S Vinay - History of Medicine, 2024 - historymedjournal.com
27 天前 - … issues, we propose a deep learning-based system to automate the detection and
classification of skin … Inthiyaz, et.al [3] This work provided an automated image-based method …
classification of skin … Inthiyaz, et.al [3] This work provided an automated image-based method …
Skin Disease Recognition Based on Deep Learning Algorithms: A Review
A Darweesh, A Mohsin - Indonesian Journal of Computer …, 2024 - ijcs.stmikindonesia.ac.id
27 天前 - … To address these issues, this work uses deep learning (DL… recognize and classify
skin diseases, suggesting that certain … of this work is to improve skin disease detection and …
skin diseases, suggesting that certain … of this work is to improve skin disease detection and …
Genetic Algorithm Optimized Stacking Approach to Skin Disease Detection
A Balasundaram, A Shaik, BR Alroy, A Singh… - IEEE …, 2024 - ieeexplore.ieee.org
31 天前 - … a limited subset of skin diseases from a vast spectrum, work on relatively small
datasets… To overcome these challenges in detecting skin diseases, a deep learning-based …
datasets… To overcome these challenges in detecting skin diseases, a deep learning-based …
CACBL-Net: a lightweight skin cancer detection system for portable diagnostic devices using deep learning based channel attention and adaptive class balanced …
36 天前 - … Accurate skin disease detection is one of the most challenging tasks due to high-class …
Section 2 contains the related work with traditional machine learning and advanced …
Section 2 contains the related work with traditional machine learning and advanced …
A hybrid machine learning model for skin disease classification using discrete wavelet transform and gray level co-occurrence matrix (GLCM)
37 天前 - … Skin conditions are widespread health issues in the world. … problems. In severe
circumstances, it might even result in … This work uses three machine learning models (Decision …
circumstances, it might even result in … This work uses three machine learning models (Decision …
An artificial intelligence model for the semantic segmentation of neoplasms on images of the skin
VG Nikitaev, AN Pronichev, OV Nagornov… - Biomedical …, 2024 - Springer
38 天前 - … intelligence model based on deep learning for semantic … This work proposed a new
SegFormer-Derma model for … to recognize specific types of skin disease. This sequence of …
SegFormer-Derma model for … to recognize specific types of skin disease. This sequence of …
BrainCDNet: a concatenated deep neural network for the detection of brain tumors from MRI images
43 天前 - … In this work, two different forms of magnetic resonance imaging (MRI) databases …
deep neural network called BrainCDNet to extract meaningful features by addressing issues …
deep neural network called BrainCDNet to extract meaningful features by addressing issues …
[PDF][PDF] REVOLUTIONIZING HEALTHCARE WITH AI: PERSONALIZED MEDICINE: PREDICTIVE
TR Gatla - researchgate.net
51 天前 - … With advancements in big data analytics, machine learning, and deep neural networks,
… and recently challenging issues in technology to explain the opportunities that AI-based …
… and recently challenging issues in technology to explain the opportunities that AI-based …