نتایج جستجو برای: Automated Cancer Diagnosis

تعداد نتایج: 1435728  

Journal: :iranian journal of pathology 2011
farahnaz noroozinia gholamreza behjati shahram shahabi hamidreza farrokh islamlo zuhair mohammad hassan

background & objectives: cancer is a serious problem for human being and is becoming a serious problem day-by-day .a prerequisite for any therapeutic modality is early diagnosis. automated cancer diagnosis by automatic image feature extraction procedures can be used as a feature extraction in the field of fractal dimension. the aim of this survey was to introduce a quantitative and objectiv...

Behrouz Ilkhanizadeh, Farahnaz Noroozinia Gholamreza Behjati Hamidreza Farrokh Islamlo Shahram Shahabi Zuhair Mohammad Hassan

  Background & Objectives: Cancer is a serious problem for human being and is becoming a serious problem day-by-day .A prerequisite for any therapeutic modality is early diagnosis. Automated cancer diagnosis by automatic image feature extraction procedures can be used as a feature extraction in the field of fractal dimension. The aim of this survey was to introduce a quantitative and objective...

پایان نامه :دانشگاه تربیت معلم - تهران - دانشکده زیست شناسی 1391

بررسی تآثیر کورکومین بر بیان آکواپورین5 در سلول های سرطانی روده بزرگ انسان(ht-29) سرطان روده بزرگ جزو بیماری های خطرناک بوده و از نظر شیوع سومین سرطان شایع و دومین علت مرگ ومیر ناشی از سرطان در جهان محسوب می شود. خطرابتلا به این سرطان تحت تاثیر دو عامل محیطی وفاکتورهای ژنتیکی می باشد. آکواپورین ها، پروتئین های کانال آبی بوده که نقش مهمی را در انتقال آب در بافتهای اندوتلیالی و اپی تلیالی بر عهد...

Fatima Rashid Sheykhahmad Mehdi Ramezani, Navid Razmjooy,

Skin cancer has been the most usual and illustrates 50% of all new cancers detected each year. If they detected at an early stage, treatment can become simple and economically. Accurate skin lesion segmentation is important in automated early skin cancer detection and diagnosis systems. The aim of this study is to provide an effective approach to detect the skin lesion border on a purposed imag...

Fatima Rashid Sheykhahmad Mehdi Ramezani, Navid Razmjooy,

Skin cancer has been the most usual and illustrates 50% of all new cancers detected each year. If they detected at an early stage, treatment can become simple and economically. Accurate skin lesion segmentation is important in automated early skin cancer detection and diagnosis systems. The aim of this study is to provide an effective approach to detect the skin lesion border on a purposed imag...

Journal: :international journal of information, security and systems management 2015
fatima rashid sheykhahmad navid razmjooy mehdi ramezani

skin cancer has been the most usual and illustrates 50% of all new cancers detected each year. if they detected at an early stage, treatment can become simple and economically. accurate skin lesion segmentation is important in automated early skin cancer detection and diagnosis systems. the aim of this study is to provide an effective approach to detect the skin lesion border on a purposed imag...

Journal: :Bioinformatics 2005
Cigdem Demir S. Humayun Gultekin Bülent Yener

This work reports a novel computational method based on augmented cell-graphs (ACG), which are constructed from low-magnification tissue images for the mathematical diagnosis of brain cancer (malignant glioma). An ACG is a simple, undirected, weighted and complete graph in which a node represents a cell cluster and an edge between a pair of nodes defines a binary relationship between them. Both...

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