Recent progress in transformer-based medical image analysis

Z Liu, Q Lv, Z Yang, Y Li, CH Lee, L Shen - Computers in Biology and …, 2023 - Elsevier
The transformer is primarily used in the field of natural language processing. Recently, it has
been adopted and shows promise in the computer vision (CV) field. Medical image analysis …

Facial acne segmentation based on deep learning with center point loss

S Kim, C Lee, G Jung, H Yoon, J Lee… - 2023 IEEE 36th …, 2023 - ieeexplore.ieee.org
Facial acne is a common skin condition that can easily occur in oily skin. Since acne is a
small area and its occurrence largely depends on the skin condition, it is difficult to detect it …

Semi-Supervised Facial Acne Segmentation Using Bidirectional Copy–Paste

S Kim, H Yoon, J Lee - Diagnostics, 2024 - mdpi.com
Facial acne is a prevalent dermatological condition regularly observed in the general
population. However, it is important to detect acne early as the condition can worsen if not …

ETLoViT: an acne diagnose approach using vision-transformers and model ensembling

KV Paluri, A Gupta - Engineering Research Express, 2024 - iopscience.iop.org
Acne, a widespread skin condition predominantly affecting teenagers, presents intricate
challenges in its diagnosis. Recent advances in deep learning, machine learning, and …

얼굴여드름분할개선을위한가상이미지를활용한준지도학습방법

김세민, 이진희, 이찬혁, 이종하 - 멀티미디어학회논문지, 2024 - dbpia.co.kr
Facial acne is a very common skin condition that can worsen or leave scars if left untreated.
Hence, deep learning-based methods have been proposed to automatically detect acne …

[PDF][PDF] DEEP CNN MODEL FOR SKIN LESION CLASSIFICATION AND DETECTION

A Ramya, R Ponnala - junikhyatjournal.in
Skin lesions refer to various abnormal conditions on the skin, like moles, spots, ulcers, and
growths. They can occur due to different reasons, such as genetic factors, exposure to the …