Výsledky vyhledávání

Report

Classification of Gleason Grading in Prostate Cancer Histopathology Images Using Deep Learning Techniques: YOLO, Vision Transformers, and Vision Mamba

Autor: Malekmohammadi, Amin, Badiezadeh, Ali, Mirhassani, Seyed Mostafa, Gifani, Parisa, Vafaeezadeh, Majid

Prostate cancer ranks among the leading health issues impacting men, with the Gleason scoring system serving as the primary method for diagnosis and prognosis. This system relies on expert pathologists to evaluate samples of prostate tissue and assig

Externí odkaz: http://arxiv.org/abs/2409.17122

Zobrazit plný text záznamu

Report

Segmentation Strategies in Deep Learning for Prostate Cancer Diagnosis: A Comparative Study of Mamba, SAM, and YOLO

Autor: Badiezadeh, Ali, Malekmohammadi, Amin, Mirhassani, Seyed Mostafa, Gifani, Parisa, Vafaeezadeh, Majid

Accurate segmentation of prostate cancer histopathology images is crucial for diagnosis and treatment planning. This study presents a comparative analysis of three deep learning-based methods, Mamba, SAM, and YOLO, for segmenting prostate cancer hist

Externí odkaz: http://arxiv.org/abs/2409.16205

Zobrazit plný text záznamu

Akademický článek

Feasibility Study of Echocardiographic Images Segmentation Based on Sparse Representation

Autor: S. Fouladifard, H. Behnam, P. Gifani, M. Shojaeifard

Publikováno v: Iranian Journal of Electrical and Electronic Engineering, Vol 18, Iss 2, Pp 1993-1993 (2022)

A semi-automatic method for the segmentation of the Left Ventricle in echocardiography images is presented. The manual segmentation of the left ventricle in all image sequences takes a lot of time. The proposed method is based on sparse representatio

Externí odkaz: https://doaj.org/article/486c3389b3a340d4a6f77b0c189a7d2a

Zobrazit plný text záznamu

Akademický článek

Minat Pencarian Masyarakat Terhadap Intervensi Stunting Sebagai Upaya Penurunan Kejadian Stunting di Indonesia Selama Periode 2018-2022: Analisis Google Trends

Autor: Najla Aurora Prameswari, Magdalena Sabda Prawesti, Sukma Dewi Astuti, Jennifer Yapita, Siti Helmyati, Gifani Rosilia, Mitha Aristyarini, Nova Lidia Sitorus, Dessy Pratiwi

Publikováno v: Amerta Nutrition, Vol 7, Iss 3SP, Pp 41-49 (2024)

Latar Belakang: Stunting merupakan kondisi kekurangan gizi kronis atau malnutrisi yang dapat menyebabkan gangguan pertumbuhan. Prevalensi stunting di Indonesia tahun 2018 masih terbilang tinggi yaitu sebesar 30,8%. Hal ini menggerakkan pemerintah unt

Externí odkaz: https://doaj.org/article/78eb22047d524243a9f720918e1d1589

Zobrazit plný text záznamu

Akademický článek

Study on the impact of the COVID-19 pandemic on stunting program implementation (sensitive and specific programs) in Sleman Regency

Autor: Gifani Rosilia, Renita Renita, Riyanti Dina Kusuma, Dewi Nugraha Primastuti, Siti Helmyati

Publikováno v: AcTion: Aceh Nutrition Journal, Vol 8, Iss 3, Pp 348-357 (2023)

The COVID-19 pandemic is a new challenge for the implementation of stunting intervention in Indonesia. Therefore, monitoring the stunting program implementation during a pandemic is crucial to achieving the target of stunting reduction. This research

Externí odkaz: https://doaj.org/article/c6bb5dc0cd3d49539ec799a0717a35c2

Zobrazit plný text záznamu

Akademický článek

Ultrasound Image Analysis with Vision Transformers—Review

Autor: Majid Vafaeezadeh, Hamid Behnam, Parisa Gifani

Publikováno v: Diagnostics, Vol 14, Iss 5, p 542 (2024)

Ultrasound (US) has become a widely used imaging modality in clinical practice, characterized by its rapidly evolving technology, advantages, and unique challenges, such as a low imaging quality and high variability. There is a need to develop advanc

Externí odkaz: https://doaj.org/article/691d70b13de242ab9d522fa4e22c719e

Zobrazit plný text záznamu

Plný text ve formátu HTML

Akademický článek

Transfer Learning with Pretrained Convolutional Neural Network for Automated Gleason Grading of Prostate Cancer Tissue Microarrays

Autor: Parisa Gifani, Ahmad Shalbaf

Publikováno v: Journal of Medical Signals and Sensors, Vol 14, Iss 1, Pp 4-4 (2024)

Background: The Gleason grading system has been the most effective prediction for prostate cancer patients. This grading system provides this possibility to assess prostate cancer’s aggressiveness and then constitutes an important factor for strati

Externí odkaz: https://doaj.org/article/263b0f82850d400988e06619d74fb082

Zobrazit plný text záznamu

Akademický článek

Single-cell transcriptome analysis for cancer and biology of the pancreas: A review on recent progress

Autor: Mona Tamaddon, Mostafa Azimzadeh, Peyman Gifani, Seyed Mohammad Tavangar

Publikováno v: Frontiers in Genetics, Vol 14 (2023)

Single-cell sequencing has become one of the most used techniques across the wide field of biology. It has enabled researchers to investigate the whole transcriptome at the cellular level across tissues, which unlocks numerous potentials for basic an

Externí odkaz: https://doaj.org/article/7aba38f1148848b2aaa3d612c87c9e98

Zobrazit plný text záznamu

Akademický článek

Relationship between the prevalence and severity of non‐alcoholic fatty liver disease and coronary artery disease: Findings from a cross‐sectional study of a referral center in northeast Iran

Autor: Arash Gholoobi, Mehrnoosh Gifani, Aida Gholoobi, Saeed Akhlaghi, Masoud Pezeshki Rad, Vafa Baradaran Rahimi

Publikováno v: JGH Open, Vol 6, Iss 5, Pp 330-337 (2022)

Abstract Background and Aim Non‐alcoholic fatty liver disease (NAFLD) is becoming increasingly prevalent worldwide, and cardiovascular diseases are the most common cause of death in NAFLD patients. The present study aimed to evaluate the possible r

Externí odkaz: https://doaj.org/article/6822b9bb038f4f6590b97281a51a774b

Zobrazit plný text záznamu

Akademický článek

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Vyhledávací nástroje:

Upřesnit hledání