Results 91 to 100 of about 4,486 (211)

Transforming Medical Imaging: A VQA Model for Microscopic Blood Cell Classification

IEEE Access
Visual Question Answering (VQA) is a promising technology that has the potential to revolutionize the medical field by enabling computers to respond to questions about medical images.
Izzah Fatima, Jamal Hussain Shah, Rabia Saleem, Samia Riaz, Muhammad Rafiq, Fahad Ahmed Khokhar   +5 more
doaj   +1 more source

A Structure‐Based Benchmarking Suite for Quantum Learning

Concurrency and Computation: Practice and Experience, Volume 38, Issue 10, May 2026.
ABSTRACT The application of quantum computing to Data Processing has naturally extended into the realm of quantum machine learning. However, while numerous benchmarks exist for evaluating quantum hardware, there remains a scarcity of tailored benchmarks that assess the intrinsic performance of learning models.
Duwon Lee, Byung‐Soo Choi
wiley   +1 more source

Hypofractionated Spot Scanning Proton Therapy for Head and Neck Mucosal Melanoma: A Retrospective Analysis With Quality‐of‐Life Outcome

Head &Neck, Volume 48, Issue 5, Page 1208-1217, May 2026.
ABSTRACT Objective To evaluate clinical outcomes and quality of life (QOL) following hypofractionated spot‐scanning proton therapy (SSPT) for head and neck malignant mucosal melanoma (HNMM). Methods This retrospective study included 39 patients treated with SSPT (60–64 Gy[RBE] in 15–16 fractions) between 2013 and 2023.
Koichiro Nakajima, Hiromitsu Iwata, Gaku Takano, Daiki Kojima, Yukiko Hattori, Yusuke Tsuzuki, Shuou Sudo, Kensuke Hayashi, Toshiyuki Toshito, Hideo Fukano, Hiroyuki Ogino, Akio Hiwatashi   +11 more
wiley   +1 more source

Advancing Accuracy in Multimodal Medical Tasks Through Bootstrapped Language-Image Pretraining (BioMedBLIP): Performance Evaluation Study

JMIR Medical Informatics
BackgroundMedical image analysis, particularly in the context of visual question answering (VQA) and image captioning, is crucial for accurate diagnosis and educational purposes.
Usman Naseem, Surendrabikram Thapa, Anum Masood   +2 more
doaj   +1 more source

Iterative Quantum Feature Maps

Advanced Quantum Technologies, Volume 9, Issue 5, May 2026.
We propose Iterative Quantum Feature Maps (IQFMs), a hybrid quantum–classical framework that constructs a deep architecture by iteratively connecting shallow quantum feature maps with classically computed augmentation weights. By incorporating contrastive learning and a layer‐wise training mechanism, the IQFMs framework effectively reduces quantum ...
Nasa Matsumoto, Quoc Hoan Tran, Koki Chinzei, Yasuhiro Endo, Hirotaka Oshima   +4 more
wiley   +1 more source

Context-VQA: Towards Context-Aware and Purposeful Visual Question Answering [PDF]

, 2023
Visual question answering (VQA) has the potential to make the Internet more accessible in an interactive way, allowing people who cannot see images to ask questions about them.
Kreiss, Elisa, Naik, Nandita, Potts, Christopher   +2 more
core  

HQD-EM: Robust VQA Through Hierarchical Question Decomposition Bias Module and Ensemble Adaptive Angular Margin Loss

Mathematics
Recent studies in Visual Question Answering (VQA) have revealed that models often rely heavily on language priors rather than vision–language understanding, leading to poor generalization under distribution shifts.
SeongHyeon Noh, Jae Won Cho
doaj   +1 more source

Evaluating the Role of Content in Subjective Video Quality Assessment

The Scientific World Journal, 2014
Video quality as perceived by human observers is the ground truth when Video Quality Assessment (VQA) is in question. It is dependent on many variables, one of them being the content of the video that is being evaluated. Despite the evidence that content
Milan Mirkovic, Petar Vrgovic, Dubravko Culibrk, Darko Stefanovic, Andras Anderla   +4 more
doaj   +1 more source

Enhanced VQA : numerical quantification

, 2019
May 2019School of ScienceWhile it is plausible to hold that artificial intelligence, AI, has made steady progress since its modern inception in 1956, it seems that over the last 10 years, AI has innovated at a particularly rapid pace.
Wang, Max
core   +1 more source

Subjective Scoring Framework for VQA Models in Autonomous Driving

IEEE Access
The development of vision and language transformer models has paved the way for Visual Question Answering (VQA) models and related research. There are metrics to assess the general accuracy of VQA models but subjective assessment of the answers generated
Kaavya Rekanar, Abbirah Ahmed, Reenu Mohandas, Ganesh Sistu, Ciaran Eising, Martin Hayes   +5 more
doaj   +1 more source