AIMC Topic: Deep Learning

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A deep-learning framework for human perception of abstract art composition.

Journal of vision
Artistic composition (the structural organization of pictorial elements) is often characterized by some basic rules and heuristics, but art history does not offer quantitative tools for segmenting individual elements, measuring their interactions and...

Deep Learning in Kidney Ultrasound: Overview, Frontiers, and Challenges.

Advances in chronic kidney disease
Ultrasonography is a practical imaging technique used in numerous health care settings. It is relatively inexpensive, portable, and safe, and it has dynamic capabilities that make it an invaluable tool for a wide variety of diagnostic and interventio...

[Application of deep learning assisted electronic laryngoscope in diagnosis of laryngeal leukoplakia].

Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery
In recent years, medical imaging technology and computer technology have made great progress. On the one hand, with the development and popularization of electronic laryngoscope, the image of electronic laryngoscope plays a very important role in the...

On training targets for deep learning approaches to clean speech magnitude spectrum estimation.

The Journal of the Acoustical Society of America
Estimation of the clean speech short-time magnitude spectrum (MS) is key for speech enhancement and separation. Moreover, an automatic speech recognition (ASR) system that employs a front-end relies on clean speech MS estimation to remain robust. Tra...

Deep learning applied to lung ultrasound videos for scoring COVID-19 patients: A multicenter study.

The Journal of the Acoustical Society of America
In the current pandemic, lung ultrasound (LUS) played a useful role in evaluating patients affected by COVID-19. However, LUS remains limited to the visual inspection of ultrasound data, thus negatively affecting the reliability and reproducibility o...

Learned Embeddings from Deep Learning to Visualize and Predict Protein Sets.

Current protocols
Models from machine learning (ML) or artificial intelligence (AI) increasingly assist in guiding experimental design and decision making in molecular biology and medicine. Recently, Language Models (LMs) have been adapted from Natural Language Proces...

Segmentation of the Prostate Transition Zone and Peripheral Zone on MR Images with Deep Learning.

Radiology. Imaging cancer
Purpose To develop a deep learning model to delineate the transition zone (TZ) and peripheral zone (PZ) of the prostate on MR images. Materials and Methods This retrospective study was composed of patients who underwent a multiparametric prostate MRI...