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Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
In the last few years, the deep learning (DL) computing paradigm has been deemed the
Gold Standard in the machine learning (ML) community. Moreover, it has gradually become …
Gold Standard in the machine learning (ML) community. Moreover, it has gradually become …
Artificial intelligence in digital pathology: a systematic review and meta-analysis of diagnostic test accuracy
Ensuring diagnostic performance of artificial intelligence (AI) before introduction into clinical
practice is essential. Growing numbers of studies using AI for digital pathology have been …
practice is essential. Growing numbers of studies using AI for digital pathology have been …
[HTML][HTML] Deep learning for lung cancer diagnosis, prognosis and prediction using histological and cytological images: a systematic review
Simple Summary Lung cancer is one of the most common and deadly malignancies
worldwide. Microscopic examination of histological and cytological lung specimens can be a …
worldwide. Microscopic examination of histological and cytological lung specimens can be a …
Deep learning on histopathological images for colorectal cancer diagnosis: a systematic review
Colorectal cancer (CRC) is the second most common cancer in women and the third most
common in men, with an increasing incidence. Pathology diagnosis complemented with …
common in men, with an increasing incidence. Pathology diagnosis complemented with …
[HTML][HTML] Current status and emerging trends in colorectal cancer screening and diagnostics
Colorectal cancer (CRC) is a prevalent and potentially fatal disease categorized based on
its high incidences and mortality rates, which raised the need for effective diagnostic …
its high incidences and mortality rates, which raised the need for effective diagnostic …
Artificial intelligence, machine learning, and deep learning for clinical outcome prediction
AI is a broad concept, grou** initiatives that use a computer to perform tasks that would
usually require a human to complete. AI methods are well suited to predict clinical outcomes …
usually require a human to complete. AI methods are well suited to predict clinical outcomes …
Applications of artificial intelligence in screening, diagnosis, treatment, and prognosis of colorectal cancer
Colorectal cancer (CRC) is one of the most common cancers worldwide. Accurate early
detection and diagnosis, comprehensive assessment of treatment response, and precise …
detection and diagnosis, comprehensive assessment of treatment response, and precise …
Clinicopathological characteristics of high microsatellite instability/mismatch repair-deficient colorectal cancer: A narrative review
WJ Mei, M Mi, J Qian, N **ao, Y Yuan… - Frontiers in …, 2022 - frontiersin.org
Colorectal cancers (CRCs) with high microsatellite instability (MSI-H) and deficient mismatch
repair (dMMR) show molecular and clinicopathological characteristics that differ from those …
repair (dMMR) show molecular and clinicopathological characteristics that differ from those …
[HTML][HTML] Current trend of artificial intelligence patents in digital pathology: a systematic evaluation of the patent landscape
Simple Summary The combination of digital pathology (DP) with artificial intelligence (AI)
offers faster, more accurate, and more comprehensive diagnoses, resulting in more precise …
offers faster, more accurate, and more comprehensive diagnoses, resulting in more precise …
A comprehensive survey of intestine histopathological image analysis using machine vision approaches
Colorectal Cancer (CRC) is currently one of the most common and deadly cancers. CRC is
the third most common malignancy and the fourth leading cause of cancer death worldwide …
the third most common malignancy and the fourth leading cause of cancer death worldwide …