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 ...

Introduction: Pore space in tight sandstone formation is very complex with micro-scale and nano-scale pores/throats, the multi-scale characteristics needs to be considered for the construction of ...

Following Gemma 3 and Gemini Robotics earlier today, Google’s AI news continues with wider access to native image output in Gemini 2.0 Flash that allows for conversational image editing alongside ...

This repository provides an end-to-end pipeline for medical image segmentation using deep learning. Implemented in Python with TensorFlow, OpenCV, and other popular libraries, this project includes ...

Abstract: Exudates segmentation in the retina are generally difficult due to their diversity in sizes, shapes, and shades. Exudate segmentation in smartphone retinal images is even more difficult ...

Abstract: This study aims to employ three image segmentation techniques—Thresholding (Otsu's method), Fuzzy C-Means (FCM) clustering, and the U-Net deep learning model-on mammographic images. By ...

U-Net and its variants have been widely used in the field of image segmentation. In this paper, a lightweight multi-scale Ghost U-Net (MSGU-Net) network architecture is proposed. This can efficiently ...

The manuscript introduces an important and innovative non-AI computational method for segmenting noisy grayscale images, with a particular focus on identifying immunostained potassium ion channel ...

ABSTRACT: Proximal gradient descent and its accelerated version are resultful methods for solving the sum of smooth and non-smooth problems. When the smooth function can be represented as a sum of ...