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Automated Classification of Segmented Cancerous Cells in Multispectral Images

Journal of Life Sciences 2013年第4期7卷 358-362页

作者： Alaa Hilal Jamal Charara ali Al Houseini Walid Hassan mohamad Nassreddine Signal and Image Processing Lab Faculty of Sciences I Lebanese University Beirut Lebanon

Automatic reading procedures in colon cells biopsies allow a faster and precise reading of microscopic biopsies. These procedures implement automatic image segmentation in order to classify cell types as cancerous or noncancerous. The authors have developed a new approach aiming to detect colon cancer cells derived from the "Snake" method but using a progressive division of the dimensions of the image to achieve rapid segmentation. The aim of the present paper was to classify different cancerous cell types based on nine morphological parameters and on probabilistic neural network. Three types of cells were used to assess the efficiency of our classifications models, including BH (Benign Hyperplasia), IN (Intraepithelial Neoplasia) that is a precursor state for cancer, and Ca (Carcinoma) that corresponds to abnormal tissue proliferation (cancer). Results showed that among the nine parameters used to classify cells, only three morphologic parameters (area, Xor convex and solidity) were found to be effective in distinguishing the three types of cells. In addition, classification of unknown cells was possible using this method.

关键词：多光谱图像自动分类癌细胞形态学参数细胞类型分段概率神经网络图像分割

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Discovery of Simple Sequence Repeat Markers through Transcriptome Analysis of Baccaurea motleyana

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Journal of Food Science and Engineering 2020年第2期10卷 33-46页

作者： Khairun Hisam Nasir Muhammad Fairuz Mohd Yusof Mohd Shahril Firdaus Abdul Razak Siti NorsaidahIbrahim Mira Farzana mohamad Moktar Khadijah Awang Mohd Shukri Mat ali Centre for Molecular Marker Discovery and Validation(CMDV) Agri-Omic dan BioinformaticsBiotechnology and Nanotechnology Research CentreMalaysian Agricultural Research and Development Institute(MARDI)Serdang 43400SelangorMalaysia Industrial Crop Research Centre Malaysian Agricultural Research and Development Institute(MARDI)Serdang 43400SelangorMalaysia Horticulture Research Centre Malaysian Agricultural Research and Development Institute(MARDI)Serdang 43400SelangorMalaysia

Baccaurea motleyana(rambai)is underutilized fruits that are native to Malaysia,Indonesia and *** this study,a total of 54,779 unigenes identified from rambai transcriptome were used for simple sequence repeat(SSR)analysis by MIcroSAtellite(MISA).A total of 20,420 SSRs were found to be distributed within 37.27%of the total number of *** repeats represented the main type,accounting for 64.04%,followed by trinucleotide repeats(20.28%)and dinucleotide repeats(19.94%).Gene annotation to seven databases has a success ratio of 68.53%(National Center for Biotechnology Information(NCBI)protein sequences),53.68%(NCBI nucleotide sequences),27.43%(Kyoto Encyclopedia of Genes and Genome Ortholog),56.0%(SwissProt),52.44%(Protein family),53.99%(Gene Ontology)and 26.44%(Kluster of Orthologous Group).Further rambai SSRs were randomly selected and validated to ***(rambai),***(tampoi),***(jentik-jentik),***(pupor)and ***(setambun).

关键词： Baccaurea SSR transcriptome gene annotation and SSR validation

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