Zobrazeno 1 - 10
of 75 937
pro vyhledávání: '"Multimodal approach"'
Autor:
Pauliana1 fungpaulie@gmail.com, Koncoro, Hendra2, Prawidiyanto, Albertus Ardian2, Gora, Cosmas2, Irman2, Tambun, Renaningtyas2
Publikováno v:
Journal of Syntax Literate. Oct2024, Vol. 9 Issue 10, p5372-5380. 9p.
Diabetic foot ulcers (DFUs) are a leading cause of hospitalizations and lower limb amputations, placing a substantial burden on patients and healthcare systems. Early detection and accurate classification of DFUs are critical for preventing serious c
Externí odkaz:
http://arxiv.org/abs/2410.01989
Autor:
Yang, Allen, Yang, Edward
According to PBS, nearly one-third of Americans lack access to primary care services, and another forty percent delay going to avoid medical costs. As a result, many diseases are left undiagnosed and untreated, even if the disease shows many physical
Externí odkaz:
http://arxiv.org/abs/2411.13855
Accurate segmentation of Optical Coherence Tomography (OCT) images is crucial for diagnosing and monitoring retinal diseases. However, the labor-intensive nature of pixel-level annotation limits the scalability of supervised learning with large datas
Externí odkaz:
http://arxiv.org/abs/2411.12615
Autor:
Ganapathy, Nagarajan, Chary, Podakanti Satyajith, Pithani, Teja Venkata Ramana Kumar, Kavati, Pavan, S, Arun Kumar
This Paper presents an advanced approach for fine-tuning BiomedCLIP PubMedBERT, a multimodal model, to classify abnormalities in Video Capsule Endoscopy (VCE) frames, aiming to enhance diagnostic efficiency in gastrointestinal healthcare. By integrat
Externí odkaz:
http://arxiv.org/abs/2410.19944
Person re-identification(ReID), as a crucial technology in the field of security, plays a vital role in safety inspections, personnel counting, and more. Most current ReID approaches primarily extract features from images, which are easily affected b
Externí odkaz:
http://arxiv.org/abs/2410.09875
Managing fluid balance in dialysis patients is crucial, as improper management can lead to severe complications. In this paper, we propose a multimodal approach that integrates visual features from lung ultrasound images with clinical data to enhance
Externí odkaz:
http://arxiv.org/abs/2409.08790
In recent years, drone detection has quickly become a subject of extreme interest: the potential for fast-moving objects of contained dimensions to be used for malicious intents or even terrorist attacks has posed attention to the necessity for preci
Externí odkaz:
http://arxiv.org/abs/2409.16099
Accurate recognition of human emotions is a crucial challenge in affective computing and human-robot interaction (HRI). Emotional states play a vital role in shaping behaviors, decisions, and social interactions. However, emotional expressions can be
Externí odkaz:
http://arxiv.org/abs/2409.11906
We study an emerging and intriguing problem of multimodal temporal event forecasting with large language models. Compared to using text or graph modalities, the investigation of utilizing images for temporal event forecasting has not been fully explo
Externí odkaz:
http://arxiv.org/abs/2408.04388