Cargando…

The Role of Deep Learning in Advancing Breast Cancer Detection Using Different Imaging Modalities: A Systematic Review

SIMPLE SUMMARY: Breast cancer is the most common cancer, which resulted in the death of 700,000 people around the world in 2020. Various imaging modalities have been utilized to detect and analyze breast cancer. However, the manual detection of cancer from large-size images produced by these imaging...

Descripción completa

Detalles Bibliográficos
Autores principales:	Madani, Mohammad, Behzadi, Mohammad Mahdi, Nabavi, Sheida
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Review
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9655692/ https://www.ncbi.nlm.nih.gov/pubmed/36358753 http://dx.doi.org/10.3390/cancers14215334

Ejemplares similares

Deep convolutional neural networks for mammography: advances, challenges and applications
por: Abdelhafiz, Dina, et al.
Publicado: (2019)

Deep Learning-Based Image Reconstruction for Different Medical Imaging Modalities
por: Yaqub, Muhammad, et al.
Publicado: (2022)

Computational Intelligence Method for Detection of White Blood Cells Using Hybrid of Convolutional Deep Learning and SIFT
por: Manthouri, Mohammad, et al.
Publicado: (2022)

Improved inter-residue contact prediction via a hybrid generative model and dynamic loss function
por: Madani, Mohammad, et al.
Publicado: (2022)

Multi-Modal Song Mood Detection with Deep Learning †
por: Pyrovolakis, Konstantinos, et al.
Publicado: (2022)

Applying Deep Transfer Learning to Assess the Impact of Imaging Modalities on Colon Cancer Detection
por: Alhazmi, Wael, et al.
Publicado: (2023)

Comparison of different input modalities and network structures for deep learning-based seizure detection
por: Cho, Kyung-Ok, et al.
Publicado: (2020)

Advanced Imaging Modalities in the Detection of Cerebral Vasospasm
por: Mills, Jena N., et al.
Publicado: (2013)

Multi-Modal Deep Learning for Weeds Detection in Wheat Field Based on RGB-D Images
por: Xu, Ke, et al.
Publicado: (2021)

Applying deep learning-based multi-modal for detection of coronavirus
por: Rani, Geeta, et al.
Publicado: (2021)

Deep Learning in the Detection and Diagnosis of COVID-19 Using Radiology Modalities: A Systematic Review
por: Ghaderzadeh, Mustafa, et al.
Publicado: (2021)

Noise cancellation using total variation for copy number variation detection
por: Zare, Fatima, et al.
Publicado: (2018)

Advanced Magnetic Resonance Imaging Modalities for Breast Cancer Diagnosis: An Overview of Recent Findings and Perspectives
por: Shahbazi-Gahrouei, Daryoush, et al.
Publicado: (2022)

Identification of Luminal A breast cancer by using deep learning analysis based on multi-modal images
por: Liu, Menghan, et al.
Publicado: (2023)

Learning-to-augment incorporated noise-robust deep CNN for detection of COVID-19 in noisy X-ray images
por: Akbarimajd, Adel, et al.
Publicado: (2022)

Corrigendum to “Deep Learning in the Detection and Diagnosis of COVID-19 Using Radiology Modalities: A Systematic Review”
por: Ghaderzadeh, Mustafa, et al.
Publicado: (2021)

Identifying candidate drivers of drug response in heterogeneous cancer by mining high throughput genomics data
por: Nabavi, Sheida
Publicado: (2016)

Deep Learning Assessment for Mining Important Medical Image Features of Various Modalities
por: Apostolopoulos, Ioannis D., et al.
Publicado: (2022)

Detecting glaucoma from multi-modal data using probabilistic deep learning
por: Huang, Xiaoqin, et al.
Publicado: (2022)

Fast and accurate view classification of echocardiograms using deep learning
por: Madani, Ali, et al.
Publicado: (2018)

Deep learning in breast imaging
por: Bhowmik, Arka, et al.
Publicado: (2022)

Application of deep learning in the detection of breast lesions with four different breast densities
por: Li, Hongmei, et al.
Publicado: (2021)

Deep learning in image-based breast and cervical cancer detection: a systematic review and meta-analysis
por: Xue, Peng, et al.
Publicado: (2022)

Breast Cancer Detection—A Synopsis of Conventional Modalities and the Potential Role of Microwave Imaging
por: Moloney, Brian M., et al.
Publicado: (2020)

Advanced Imaging Modalities to Monitor for Cardiotoxicity
por: Seraphim, Andreas, et al.
Publicado: (2019)

Deep echocardiography: data-efficient supervised and semi-supervised deep learning towards automated diagnosis of cardiac disease
por: Madani, Ali, et al.
Publicado: (2018)

An evaluation of copy number variation detection tools for cancer using whole exome sequencing data
por: Zare, Fatima, et al.
Publicado: (2017)

Co-Training for Deep Object Detection: Comparing Single-Modal and Multi-Modal Approaches
por: Gómez, Jose L., et al.
Publicado: (2021)

Developing intelligent medical image modality classification system using deep transfer learning and LDA
por: Hassan, Mehdi, et al.
Publicado: (2020)

Deep learning radiomics of dual-modality ultrasound images for hierarchical diagnosis of unexplained cervical lymphadenopathy
por: Zhu, Yangyang, et al.
Publicado: (2022)

Deep-learning-based cross-modality translation from Stokes image to bright-field contrast
por: Wei, Shilong, et al.
Publicado: (2023)

A Novel Hybrid Multi-Modal Deep Learning for Detecting Hashtag Incongruity on Social Media
por: Dadgar, Sajad, et al.
Publicado: (2022)

Deep-learning based breast cancer detection for cross-staining histopathology images
por: Huang, Pei-Wen, et al.
Publicado: (2023)

Weed Detection Using Deep Learning: A Systematic Literature Review
por: Murad, Nafeesa Yousuf, et al.
Publicado: (2023)

Breast Cancer Detection with an Ensemble of Deep Learning Networks Using a Consensus-Adaptive Weighting Method
por: Dehghan Rouzi, Mohammad, et al.
Publicado: (2023)

Full 3D Microwave Breast Imaging Using a Deep-Learning Technique
por: Khoshdel, Vahab, et al.
Publicado: (2020)

Using deep transfer learning to detect scoliosis and spondylolisthesis from x-ray images
por: Fraiwan, Mohammad, et al.
Publicado: (2022)

Employing Atrous Pyramid Convolutional Deep Learning Approach for Detection to Diagnose Breast Cancer Tumors
por: Sadeghi Pour, Ehsan, et al.
Publicado: (2023)

A Framework for Enabling Unpaired Multi-Modal Learning for Deep Cross-Modal Hashing Retrieval
por: Williams-Lekuona, Mikel, et al.
Publicado: (2022)

Efficient Pneumonia Detection in Chest Xray Images Using Deep Transfer Learning
por: Hashmi, Mohammad Farukh, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_ga41clc1hk9o5inkflr62cl3ae