Title | Journals | First author | Year | citations |
---|---|---|---|---|
A survey on deep learning in medical image analysis | Medical Image Analysis | Litjens Geert | 2017 | 3777 |
ONCOMINE: A cancer microarray database and integrated data-mining platform | Neoplasia | Rhodes DR | 2004 | 2425 |
Novel molecular subtypes of serous and endometrioid ovarian cancer linked to clinical outcome | Clinical Cancer Research | Tothill Richard W | 2008 | 929 |
Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer | Journal of The American Medical Association | Bejnordi Babak Ehteshami | 2017 | 899 |
Using Fourier transform IR spectroscopy to analyze biological materials | Nature Protocols | Baker Matthew J | 2014 | 881 |
DNA methylation-based classification of central nervous system tumours | Nature | Capper David | 2018 | 865 |
Computer-aided diagnosis in medical imaging: Historical review, current status and future potential | Computerized Medical Imaging and Graphics | Doi Kunio | 2007 | 832 |
Gene expression-based classification of malignant gliomas correlates better with survival than histological classification | Cancer Research | Nutt CL | 2003 | 697 |
Classification and mutation prediction from non-small cell lung cancer histopathology images using deep learning | Nature Medicine | Coudray Nicolas | 2018 | 668 |
Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images | IEEE Transactions on Medical Imaging | Sirinukunwattana Korsuk | 2016 | 509 |