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Digital image processing and pattern recognition techniques for the detection of cancer

机译:用于检测癌症的数字图像处理和模式识别技术

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Cancer isthesecondleadingcauseofdeathforbothmenand women intheworld,andisexpectedtobecometheleadingcause of deathinthenextfewdecades.Inrecentyears,cancerdetection has becomeasignificantareaofresearchactivitiesintheimagepro-cessing andpatternrecognitioncommunity.Medicalimagingtech-nologies havealreadymadeagreatimpactonourcapabilitiesof detecting cancerearlyanddiagnosingthediseasemoreaccurately.In ordertofurtherimprovetheefficiencyandveracityofdiagnoses and treatment,imageprocessingandpatternrecognitiontechniques have beenwidelyappliedtoanalysisandrecognitionofcancer,eval-uation oftheeffectivenessoftreatment,andpredictionofthedevel-opment ofcancer.Theaimofthisspecialissueistobringtogether researchers workingonimageprocessingandpatternrecognition techniques forthedetectionandassessmentofcancer,andtopro-mote researchinimageprocessingandpatternrecognitionforon-cology. Anumberofpapersweresubmittedtothisspecialissueand each waspeer-reviewedbyatleastthreeexpertsinthefield.From these submittedpapers,17werefinallyselectedforinclusionin this specialissue.Theseselectedpaperscoverabroadrangeoftop-ics thatarerepresentativeofthestate-of-the-artincomputer-aided detection ordiagnosis(CAD)ofcancer.Theycoverseveralimaging modalities (suchasCT,MRI,andmammography)anddifferenttypes of cancer(includingbreastcancer,skincancer,etc.),whichwesum-marize below.
机译:癌症isthesecondleadingcauseofdeathforbothmenand女性intheworld,andisexpectedtobecometheleadingcause deathinthenextfewdecades.Inrecentyears的,cancerdetection已经becomeasignificantareaofresearchactivitiesintheimagepro-cessing andpatternrecognitioncommunity.Medicalimagingtech中期,全世界havealreadymadeagreatimpactonourcapabilitiesof检测cancerearlyanddiagnosingthediseasemoreaccurately.In ordertofurtherimprovetheefficiencyandveracityofdiagnoses和治疗,imageprocessingandpatternrecognitiontechniques有beenwidelyappliedtoanalysisandrecognitionofcancer,EVAL-uation oftheeffectivenessoftreatment,andpredictionofthedevel-opment ofcancer.Theaimofthisspecialissueistobringtogether研究者workingonimageprocessingandpatternrecognition技术forthedetectionandassessmentofcancer,并促进对图像的图像处理和模式识别的研究。大量的纸被提交给这个特殊的领域,并且在该领域至少有三位专家对其进行了同行评审。从这些提交的文件中,最终选择了17份纳入该特殊的论文。这些被选的具有广泛临床意义的影像学类型,可以证实,无论是哪种类型的肿瘤,计算机诊断(诊断)在某种程度上都可以通过计算机诊断(在某种程度上,可以通过计算机诊断或诊断)。等),我们在下面总结。

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