Computer-aided diagnosis of breast cancer using cytological images: A systematic review.
about
An Advanced Deep Learning Approach for Ki-67 Stained Hotspot Detection and Proliferation Rate Scoring for Prognostic Evaluation of Breast Cancer.Automatic diagnosis of imbalanced ophthalmic images using a cost-sensitive deep convolutional neural network.An introduction and overview of machine learning in neurosurgical care.Imprint cytology-based breast malignancy screening: an efficient nuclei segmentation technique.Near-set Based Mucin Segmentation in Histopathology Images for Detecting Mucinous Carcinoma.Analysis of Morphological Features of Benign and Malignant Breast Cell Extracted From FNAC Microscopic Image Using the Pearsonian System of Curves.
P2860
Computer-aided diagnosis of breast cancer using cytological images: A systematic review.
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
@zh
2016年论文
@zh-cn
name
Computer-aided diagnosis of breast cancer using cytological images: A systematic review.
@en
type
label
Computer-aided diagnosis of breast cancer using cytological images: A systematic review.
@en
prefLabel
Computer-aided diagnosis of breast cancer using cytological images: A systematic review.
@en
P1433
P1476
Computer-aided diagnosis of breast cancer using cytological images: A systematic review
@en
P2093
Chandan Chakraborty
Rashmi Mukherjee
P304
P356
10.1016/J.TICE.2016.07.006
P50
P577
2016-07-30T00:00:00Z