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Computer-Aided Breast Cancer Diagnosis Based on the Analysis of Cytological Images of Fine Needle Biopsies
TLDR
The effectiveness of the treatment of breast cancer depends on its timely detection. Expand
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Computer-aided diagnosis of breast cancer based on fine needle biopsy microscopic images
TLDR
In this study, four different clustering algorithms are tested and compared in the task of fast nuclei segmentation. Expand
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Nuclei segmentation for computer-aided diagnosis of breast cancer
TLDR
This work reports on advances in computer-aided breast cancer diagnosis based on the analysis of cytological images of fine needle biopsies. Expand
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Automatic Breast Cancer Diagnosis Based on K-Means Clustering and Adaptive Thresholding Hybrid Segmentation
TLDR
The paper presents k-means based hybrid segmentation method for breast cancer diagnosis problem with adaptive thresholding and clustering. Expand
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Cytological image analysis with firefly nuclei detection and hybrid one-class classification decomposition
TLDR
We propose an efficient medical decision support framework that allows distinguishing between benign, malignant and fibroadenoma cases. Expand
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Deep learning for facial expression recognition: A step closer to a smartphone that knows your moods
TLDR
By growing the capacity and processing power of the handheld devices nowadays, a wide range of capabilities can be implemented in these devices to make them more intelligent and user friendly. Expand
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Real-time simulation of a sailboat
TLDR
This paper presents a proposition of real-time simulation of a sailboat exploring both rigid-bodies and soft bodies. Expand
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Fuzzy Clustering and Adaptive Thresholding Based Segmentation Method for Breast Cancer Diagnosis
TLDR
The paper provides a preview of some work in progress on the computer system to support breast cancer diagnosis. Expand
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Automatic Nuclei Detection on Cytological Images Using the Firefly Optimization Algorithm
TLDR
The firefly algorithm is a powerful optimization method inspired by the flashing behavior of fireflies. Expand
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Multi-label fast marching and seeded watershed segmentation methods for diagnosis of breast cancer cytology
TLDR
We compared the suitability of nuclei segmentation using MLFM and SW algorithms for breast cancer classification problem for computer-aided diagnosis system. Expand
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