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Menampilkan 1–3 dari 3 artikel
Uncertainty-Aware Breast Ultrasound Explanation Cards: A Visual Communication Framework for Image-Based AI Diagnostic Support Using BreastMNIST_224
Ye, Tong
; Chang, Xiaohan
; Zhong, Eric
International Journal of Graphic Design
Vol 3
, No 2
(2025)
AI-assisted diagnostic interfaces should communicate more than a class label. They need to show the predicted risk, the uncertainty around that risk, the visual evidence that influenced the model, the limits of the evidence, and the appropriate next action. This paper presents an uncertainty-aware explanation-card framework for breast ultrasound decision-support screens. The empirical study was conducted on BreastMNIST_224, the 224 x 224 MedMNIST+ breast ultrasound benchmark with official train,...
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Distilling VMAF into an Edge-Deployable Quality Predictor: A Pilot Shot-Level Proxy with LLM-Ready Quality Tokens
Zhou, Binghua
; Wang, Heyu
; Chang, Xiaohan
Journal of Technology Informatics and Engineering
Vol 4
, No 2
(2025)
This pilot study evaluates whether a compact student model can approximate VMAF well enough to support low-latency release guarding on edge-class CPU environments. The corpus comprises a 62.31-second Big Buck Bunny excerpt at 1280 × 720 and 25 fps, segmented into 13 shots. Twelve distorted variants were generated by crossing H.264/AVC and H.265/HEVC with 180p, 240p, and 360p delivery resolutions and two quality levels per codec-resolution pair, yielding 156 shot-level samples. Frame-level VMAF s...
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Layout-Aware Progressive PDF Rendering: AI Prioritization of PDF Slices to Reduce Time-to-Functional-First-Frame on FUNSD
Wang, Heyu
; Ren, Yuxuan
; Chang, Xiaohan
Journal of Technology Informatics and Engineering
Vol 4
, No 2
(2025)
Progressive PDF rendering is attractive because users rarely need every visible pixel at once; they need the semantically useful parts of the current viewport early enough for reading and interaction. This paper studies whether layout-aware AI can prioritize PDF slices more effectively than geometric or density-based heuristics. We reconstruct vector PDFs from official FUNSD form annotations and evaluate a tile scheduler that predicts tile utility from inexpensive layout and preview features bef...
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