Results 91 to 100 of about 1,461,442 (277)

LAMA: Lesion-Aware Mixup Augmentation for Skin Lesion Segmentation. [PDF]

J Imaging Inform Med
Deep learning can exceed dermatologists' diagnostic accuracy in experimental image environments. However, inaccurate segmentation of images with multiple skin lesions can be seen with current methods. Thus, information present in multiple-lesion images, available to specialists, is not retrievable by machine learning. While skin lesion images generally
Lama N, Stanley RJ, Lama B, Maurya A, Nambisan A, Hagerty J, Phan T, Van Stoecker W.   +7 more
europepmc   +3 more sources

Skin lesion image segmentation using Delaunay Triangulation for melanoma detection [PDF]

, 2016
Developing automatic diagnostic tools for the early detection of skin cancer lesions in dermoscopic images can help to reduce melanoma-induced mortal- ity. Image segmentation is a key step in the automated skin lesion diagnosis pipeline. In this paper,
Antonio Facchiano, Facchiano, Antonio, Domenico D. Bloisi, Daniele Nardi, BLOISI, Domenico Daniele, PENNISI, ANDREA, Andrea Pennisi, Chiara Mondino, Anna Rita Giampetruzzi, Giampetruzzi, Anna Rita, NARDI, Daniele, Mondino, Chiara   +11 more
core   +1 more source

Electrospun Core–Shell Bioadhesive Nanofiber Sheets Enable Durable Pulmonary Air Leak Sealing Under Wet and Dynamic Conditions

Advanced Healthcare Materials, EarlyView.
A core–shell electrospun nanofiber sheet provides strong adhesion and durable sealing on the wet and dynamic lung surface. The engineered fibrous architecture maintains airtight integrity and offers a potential alternative to fibrin sealants for pulmonary air leak management in thoracic surgery.
Tomohito Okubo, Kouji Hara, Naoyuki Hatayama, Kota Takahashi, Eriko Yamazoe, Takaaki Ito, Takao Takeuchi, Yoko Koide, Mayumi Yamada, Munekazu Naito, Kohei Tahara   +10 more
wiley   +1 more source

Skin Lesion Segmentation Ensemble with Diverse Training Strategies [PDF]

, 2019
This paper presents a novel strategy to perform skin lesion segmentation from dermoscopic images. We design an effective segmentation pipeline, and explore several pre-training methods to initialize the features extractor, highlighting how different ...
Stefano Allegretti, Costantino Grana, Federico Pollastri, Grana, Costantino, Michele Cancilla, Bolelli, Federico, Federico Bolelli, Canalini, Laura, Cancilla Michele, Allegretti, Stefano, Laura Canalini, Pollastri, Federico   +11 more
core   +1 more source

GDNF‐Enriched Small Extracellular Vesicle‐Loaded ROS‐Scavenging Hydrogel Promotes Neural Regeneration After Spinal Cord Injury

Advanced Healthcare Materials, EarlyView.
A glial cell line‐derived neurotrophic factor (GDNF)‐enriched small extracellular vesicle‐loaded reactive oxygen species (ROS)‐scavenging hydrogel integrates sustained neurotrophic delivery with local modulation of oxidative and inflammatory stress after spinal cord injury. The composite hydrogel improves local vesicle retention, protects neural tissue,
Xingyu Zhu, Zhong Liu, Kewei Li, Yuhong Fan, Kangjia Yang, Xiaopeng Sun, Hang Shi, Lixuan Sun, Yang Lou, Min Wang, Peipei Wu, Hui Qian, Qiang Fu, Hua Ding   +13 more
wiley   +1 more source

Skin Lesion Classification Using Ensembles of Multi-Resolution EfficientNets with Meta Data

, 2019
In this paper, we describe our method for the ISIC 2019 Skin Lesion Classification Challenge. The challenge comes with two tasks. For task 1, skin lesions have to be classified based on dermoscopic images.
Werner, René, Schlaefer, Alexander, Gessert, Nils Thorben, Nielsen, Maximilian, Shaikh, Mohsin   +4 more
core   +1 more source

All‐Amyloid Functional Coacervates

Advanced Materials, EarlyView.
This study introduces an all‐amyloid interfacial complex coacervate technique that employs charge‐mediated or functionalization‐assisted complexation of oppositely charged food protein‐derived amyloid nanofibrils to engineer functional soft constructs across multiple length scales.
Seyyed Alireza Hashemi, Mohammad Peydayesh, Laura Baraldi, Mohammad Arjmand, Raffaele Mezzenga   +4 more
wiley   +1 more source

A Detection and Segmentation Architecture for Skin Lesion Segmentation on Dermoscopy Images

CoRR, 2018
5 pages, 9 figures, Ranked 1st place in ISIC 2018 task1, title updated and results ...
Chengyao Qian, Ting Liu, Hao Jiang, Zhe Wang, Pengfei Wang, Mingxin Guan, Biao Sun   +6 more
openaire   +2 more sources

Advances in Bio‐Integrated Edge Computing Systems for Smart and Connected Health

Advanced Materials, EarlyView.
This review explores advances in bio‐integrated edge computing for healthcare, focusing on co‐designing computing, sensing, and energy strategies to overcome integration and power challenges for optimized, decentralized operation. ABSTRACT Recent advances in bio‐integrated healthcare technologies have enabled continuous, high‐resolution monitoring and ...
Gyuwon Kim, Seungwon Yoo, Tae Woog Kang, Yunuo Huang, Woon‐Hong Yeo   +4 more
wiley   +1 more source

Automatic Segmentation of Dermoscopic Images by Iterative Classification

International Journal of Biomedical Imaging, 2011
Accurate detection of the borders of skin lesions is a vital first step for computer aided diagnostic systems. This paper presents a novel automatic approach to segmentation of skin lesions that is particularly suitable for analysis of dermoscopic images.
Maciel Zortea, Stein Olav Skrøvseth, Thomas R. Schopf, Herbert M. Kirchesch, Fred Godtliebsen   +4 more
doaj   +1 more source