حوزه علمی

Convolutional Neural Networks

مجموعه‌ای از مقالات و رویدادهای علمی مرتبط با «Convolutional Neural Networks» در نمایه علمی‌جو.

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مقالات حوزه Convolutional Neural Networks

مقاله کنفرانسی سال ۱۳۹۵ ۶۳۲ مشاهده

A Unified Model for Using the Higher-order Information in Semantic Segmentation Tasks

In this paper we propose a unified model for exploiting independent tasks of: Object recognition and Scene classification in Semantic segmentation ta…

Semantic SegmentationConditional Random FieldsConvolutional Neural Networks
مقاله کنفرانسی سال ۱۴۰۱ ۳۷۷ مشاهده

Analysing COVID-19 in Medical Images

The Covid 19 virus was discovered in Wuhan China in 2019 and spread rapidly throughout the world dueto its high transmission power A timely and accur…

AlexNetCOVID-19Lung Segmentation
مقاله کنفرانسی سال ۱۴۰۳ ۳۱۱ مشاهده

CBCT Convergence With Artificial Intelligence: Evaluating Novel Technologies In Endodontic Therapy

CBCTConvolutional neural networksDeep learning models
مقاله کنفرانسی سال ۱۴۰۴ ۱۲۳ مشاهده

Artificial Intelligence in Embryo Selection: A New Paradigm for Assisted Reproduction

Background: Embryo selection is critical to IVF success Traditional morphological assessment is limited by subjectivity AI and deep learning offer a…

Artificial IntelligenceDeep LearningEmbryo Selection
مقاله کنفرانسی سال ۱۴۰۵ ۱۱۹ مشاهده

AI-Based Deepfake Detection in Multimedia Content Using CNN and Transformer Models

The rapid advancement of generative artificial intelligence has enabled the creation of highly realistic synthetic media, commonly known as deepfakes…

Convolutional Neural NetworksDeepfake DetectionTransformer Models
مقاله کنفرانسی سال ۱۴۰۴ ۹۸ مشاهده

Application of Deep Neural Networks in Predicting Stem Cell Fate Based on Time-Lapse Imaging Data

The determination of stem cell fate is a fundamental process in developmental biology that governs tissue formation and homeostasis Traditionally, id…

Convolutional Neural Networks: Deep LearningStem Cell Fate
مقاله کنفرانسی سال ۱۴۰۵ ۴۹ مشاهده

DEEP LEARNING-BASED WOUND IMAGE SEGMENTATION: A COMPREHENSIVE REVIEW OF METHODS, ARCHITECTURES, AND CHALLENGES

deep learningconvolutional neural networksU-Net