cancer screening
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Author(s):  
Marialaura Simonetto ◽  
Stephanie Rutrick ◽  
Natalie M. LeMoss ◽  
Kelsey N. Lansdale ◽  
Scott T. Tagawa ◽  
...  

2022 ◽  
Vol 76 ◽  
pp. 102079
Author(s):  
Brendan T. Heiden ◽  
Kathryn E. Engelhardt ◽  
Chao Cao ◽  
Bryan F. Meyers ◽  
Varun Puri ◽  
...  

Author(s):  
Akella S. Narasimha Raju ◽  
Kayalvizhi Jayavel ◽  
Tulasi Rajalakshmi

<span>The malignancy of the colorectal testing methods has been exposed triumph to decrease the occurrence and death rate; this cancer is the relatively sluggish rising and has an extremely peculiar to develop the premalignant lesions. Now, many patients are not going to colorectal cancer screening, and people who do, are able to diagnose existing tests and screening methods. The most important concept of this motivation for this research idea is to evaluate the recognized data from the immediately available colorectal cancer screening methods. The data provided to laboratory technologists is important in the formulation of appropriate recommendations that will reduce colorectal cancer. With all standard colon cancer tests can be recognized agitatedly, the treatment of colorectal cancer is more efficient. The intelligent computer assisted diagnosis (CAD) is the most powerful technique for recognition of colorectal cancer in recent advances. It is a lot to reduce the level of interference nature has contributed considerably to the advancement of the quality of cancer treatment. To enhance diagnostic accuracy intelligent CAD has a research always active, ongoing with the deep learning and machine learning approaches with the associated convolutional neural network (CNN) scheme.</span>


2022 ◽  
Vol 82 ◽  
pp. 224-227
Author(s):  
Ava Tsapatsaris ◽  
Kemi Babagbemi ◽  
Melissa B. Reichman

Author(s):  
Alicia B. W. Clifton ◽  
Shivan J. Mehta ◽  
Jocelyn V. Wainwright ◽  
Shannon N. Ogden ◽  
Chelsea A. Saia ◽  
...  

Author(s):  
Amry M. Majeed ◽  
Zeeshan A. Khan ◽  
Briseis Aschebrook-Kilfoy ◽  
Muhammad G. Kibriya ◽  
Habibul Ahsan ◽  
...  

2022 ◽  
pp. cebp.0895.2021
Author(s):  
Cecilia Acuti Martellucci ◽  
Margherita Morettini ◽  
Julia ML Brotherton ◽  
Karen Canfell ◽  
Lamberto Manzoli ◽  
...  

2022 ◽  
Author(s):  
Adam Yala ◽  
Peter G. Mikhael ◽  
Constance Lehman ◽  
Gigin Lin ◽  
Fredrik Strand ◽  
...  

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