Results 111 to 120 of about 1,461,442 (277)
Understanding skin color bias in deep learning-based skin lesion segmentation
Background: The field of dermatological image analysis using deep neural networks includes the semantic segmentation of skin lesions, pivotal for lesion analysis, pathology inference, and diagnoses.
Habijan, Marija0002016449138020037337289753396046680000-0002-3754-498Xa92522f4-cfb7-11eb-aa76-ae962ce447d3 +4 more
core +2 more sources
Flexible Sensors for Robotics Tactile Perception: A Review
Flexible tactile sensing for robotics is reviewed through four interconnected dimensions. Physical mechanisms include piezoresistive, capacitive, piezoelectric, triboelectric, iontronic, and optical sensing. Structural design includes bioinspired, defect‐based, and MEMS‐based tactile systems.
Yu Song, Ying Chen, Yihao Chen, Xue Feng
wiley +1 more source
MSPAN: Multi‐scale pyramid attention network for efficient skin cancer lesion segmentation
Skin cancer is common and deadly, needs to be detected and treated properly. Deep learning algorithms like UNet have shown potential results in medical imaging.
Noor Ahmed, Tan Xin, Ma Lizhuang
doaj +1 more source
Magnetically Actuated Microrobot for Drug Delivery: Current Progress and Challenges
Magnetically actuated microrobots are reshaping targeted drug delivery through wireless propulsion, programmable materials, and localized therapeutic release. This review examines how fabrication, body material selection, structural architecture, loading mechanisms, and imaging‐guided control converge to enable microrobotic therapies while identifying ...
Yang Yang, David J. Cappelleri
wiley +1 more source
Shear‐Isolating Actuation System for Exosuit Using Movable Pulley With Webbing‐Driven Mechanism
Tendon‐driven exosuits can chafe the skin because the moving tendon slides against the wearer. A shear‐isolating actuation system combining a movable pulley with flat‐profile webbing keeps the body‐contacting tendon layer stationary, relocating relative motion away from the skin. The compact 145‐g actuator delivers 150 N of assistance, and benchtop and
Kyeongmin Lim +5 more
wiley +1 more source
Precision and efficiency in skin cancer segmentation through a dual encoder deep learning model
Skin cancer is a prevalent health concern, and accurate segmentation of skin lesions is crucial for early diagnosis. Existing methods for skin lesion segmentation often face trade-offs between efficiency and feature extraction capabilities.
Asaad Ahmed +4 more
doaj +1 more source
An interactive evolutionary multi-objective approach to skin lesion segmentation
© Springer Nature Singapore Pte Ltd. 2019. In this paper, a generic framework for skin lesion segmentation based on Interactive Evolutionary Computation (IEC) is presented.
BE Khoo (15780020) +2 more
core
Flexible surgical robots are advancing minimally invasive interventions for cardiovascular diseases and cancer by enabling precise navigation through complex, submillimeter anatomical pathways. This review highlights recent innovations in actuation, bio‐integrated sensing, AI‐assisted control, and friction‐reduction technologies, discusses current ...
Hermione Truong +14 more
wiley +1 more source
Early detection of cutaneous melanoma is crucial for improving patient survival rates. Skin lesion segmentation is a critical step towards computer-aided diagnosis that is effective in melanoma detection. This work proposes a novel patch-based model that
Eliezer Soares Flores, Jacob Scharcanski
doaj +1 more source
Graph-based skin lesion segmentation of multispectral dermoscopic images
International audienceAccurate skin lesion segmentation is critical for automated early skin cancer detection and diagnosis. We present a novel method to detect skin lesion borders in multispectral der-moscopy images.
Desvignes, Michel +2 more
core

