Automated apple harvesting is hindered by clustered fruits, varying illumination, and inconsistent depth perception in complex orchard environments. While deep learning models such as Faster R-CNN and ...

Data sharing is essential for advancing research in radiation oncology, particularly for training artificial intelligence (AI) models in medical imaging. However, privacy concerns necessitate ...

ABSTRACT: In this paper, a novel multilingual OCR (Optical Character Recognition) method for scanned papers is provided. Current open-source solutions, like Tesseract, offer extremely high accuracy ...

1 School of Electronic Information, Xijing University, Xi’an, China. 2 Department of Nuclear Medicine, Shaanxi Provincial Cancer Hospital, Xi’an, China. 3 Shaanxi University of Chinese Medicine, ...

Abstract: In this paper, a novel method for accurate and efficient word segmentation in medical texts is presented: the Latent HMM-Greedy algorithm. In order to refine the process and uncover hidden ...

Hi-SAM: Marrying Segment Anything Model for Hierarchical Text Segmentation. This is the official repository for Hi-SAM, a unified hierarchical text segmentation model. Refer to our paper for more ...

First: Thanks for this handy crate! I compared the results of this crate against what https://unicode.org/reports/tr29/#Word_Boundaries mandates and was surprised to ...

Abstract: Offline handwritten text recognition is a very challenging problem. Aside from the large variation of different handwriting styles, neighboring characters within a word are usually connected ...