Computer-aided diagnosis methods for high-frequency ultrasound data analysis: a review

J Czajkowska, M Borak - Sensors, 2022 - mdpi.com
Over the last few decades, computer-aided diagnosis systems have become a part of clinical
practice. They have the potential to assist clinicians in daily diagnostic tasks. The image …

Rapid measurement of epidermal thickness in OCT images of skin

CH Lin, BE Lukas, A Rajabi-Estarabadi, JR May… - Scientific Reports, 2024 - nature.com
Epidermal thickness (ET) changes are associated with several skin diseases. To measure
ET, segmentation of optical coherence tomography (OCT) images is essential; manual …

Automated segmentation of epidermis in high-frequency ultrasound of pathological skin using a cascade of DeepLab v3+ networks and fuzzy connectedness

J Czajkowska, P Badura, S Korzekwa… - … Medical Imaging and …, 2022 - Elsevier
This study proposes a novel, fully automated framework for epidermal layer segmentation in
different skin diseases based on 75 MHz high-frequency ultrasound (HFUS) image data. A …

Techniques and applications in skin OCT analysis

AP Yow, R Srivastava, J Cheng, A Li, J Liu… - Deep Learning in …, 2020 - Springer
The skin is the largest organ of our body. Skin disease abnormalities which occur within the
skin layers are difficult to examine visually and often require biopsies to make a confirmation …

Projective skip-connections for segmentation along a subset of dimensions in retinal OCT

D Lachinov, P Seeböck, J Mai, F Goldbach… - … Image Computing and …, 2021 - Springer
In medical imaging, there are clinically relevant segmentation tasks where the output mask
is a projection to a subset of input image dimensions. In this work, we propose a novel …

Deep-learning approach for automated thickness measurement of epithelial tissue and scab using optical coherence tomography

Y Ji, S Yang, K Zhou, HR Rocliffe… - Journal of …, 2022 - spiedigitallibrary.org
Significance: In order to elucidate therapeutic treatment to accelerate wound healing, it is
crucial to understand the process underlying skin wound healing, especially re …

Automatic segmentation of epidermis and hair follicles in optical coherence tomography images of normal skin by convolutional neural networks

R Del Amor, S Morales, A Colomer, M Mogensen… - Frontiers in …, 2020 - frontiersin.org
Optical coherence tomography (OCT) is a well-established bedside imaging modality that
allows analysis of skin structures in a non-invasive way. Automated OCT analysis of skin …

Optical coherence tomography for multicellular tumor spheroid category recognition and drug screening classification via multi-spatial-superficial-parameter and …

F Yan, B Mutembei, T Valerio, G Gunay… - Biomedical Optics …, 2024 - opg.optica.org
Optical coherence tomography (OCT) is an ideal imaging technique for noninvasive and
longitudinal monitoring of multicellular tumor spheroids (MCTS). However, the internal …

A distance-based loss for smooth and continuous skin layer segmentation in optoacoustic images

S Gerl, JC Paetzold, H He, I Ezhov, S Shit… - … Conference on Medical …, 2020 - Springer
Raster-scan optoacoustic mesoscopy (RSOM) is a powerful, non-invasive optical imaging
technique for functional, anatomical, and molecular skin and tissue analysis. However, both …

Boundary Segmentation of Vascular Images in Fourier Domain Doppler Optical Coherence Tomography Based on Deep Learning

C Wu, Z Wang, P Xue, W Liu - Electronics, 2024 - mdpi.com
Microscopic and ultramicroscopic vascular sutures are indispensable in surgical procedures
such as arm transplantation and finger reattachment. The state of the blood vessels after …