{"id":7292,"date":"2026-06-27T08:02:25","date_gmt":"2026-06-27T08:02:25","guid":{"rendered":"https:\/\/ijete.com\/?p=7292"},"modified":"2026-06-27T08:22:06","modified_gmt":"2026-06-27T08:22:06","slug":"ijetev1i1a003-android-hacking-and-exploitationusing-kali-linux-a-cyber-forensic-analysis-ofvulnerabiilties-and-mitigation-3","status":"publish","type":"post","link":"https:\/\/ijete.com\/index.php\/2026\/06\/27\/ijetev1i1a003-android-hacking-and-exploitationusing-kali-linux-a-cyber-forensic-analysis-ofvulnerabiilties-and-mitigation-3\/","title":{"rendered":"IJETEV1I1A007 &#8211;\u00a0DEEPINSIGHT: ENDOSCOPIC IMAGE-BASED COLORECTAL CANCER CLASSIFICATION USING SEQUENTIAL CNN ARCHITECTURE\u00a0"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"7292\" class=\"elementor elementor-7292\" data-elementor-post-type=\"post\">\n\t\t\t\t<div class=\"elementor-element elementor-element-e6c0c50 e-con-full e-flex e-con e-child\" data-id=\"e6c0c50\" data-element_type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-3ea7ebf e-con-full e-flex e-con e-child\" data-id=\"3ea7ebf\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-392145c elementor-widget elementor-widget-heading\" data-id=\"392145c\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\"><span style=\"letter-spacing: 0px\">IJETEV1I1A007 - <\/span><span style=\"letter-spacing: 0px\">DEEPINSIGHT: ENDOSCOPIC IMAGE-BASED COLORECTAL CANCER CLASSIFICATION USING SEQUENTIAL CNN ARCHITECTURE<\/span><\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-d03feba e-con-full e-flex e-con e-child\" data-id=\"d03feba\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4552d35 elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"4552d35\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><strong><span style=\"color: #b20909;\">AUTHORS<\/span> :<\/strong> Muthusamy P, Arthi R, Mowleshwaran K, Arunkumar S, Yasar S<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e9ac1d9 elementor-widget elementor-widget-text-editor\" data-id=\"e9ac1d9\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"color: #b20909;\"><strong>ABSTRACT<\/strong><\/span> &#8211; Colorectal cancer (CRC) is one of the most common and life-threatening cancers worldwide, where early detection significantly improves survival rates. Conventional diagnostic approaches such as colonoscopy and histopathological examination rely heavily on manual interpretation by clinicians, making the process time-consuming. This paper presents an artificial intelligence\u2013based computeraided diagnosis (CAD) system for automated colorectal cancer classification using endoscopic images. The proposed system employs a Sequential Convolutional Neural Network (CNN) architecture to classify colorectal images into normal, polyp, and cancerous categories. Image preprocessing techniques such as resizing, noise removal, normalization, and data augmentation are applied to enhance feature learning and improve model performance. Experimental results demonstrate improved classification accuracy, reduced false detection rates, and real-time diagnostic support<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-78b471e elementor-widget elementor-widget-button\" data-id=\"78b471e\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"http:\/\/ijete.com\/wp-content\/uploads\/2026\/06\/IJETEV1I1A007.pdf\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">DOWNLOAD<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b4dc644 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"b4dc644\" data-element_type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>IJETEV1I1A007 &#8211; DEEPINSIGHT: ENDOSCOPIC IMAGE-BASED COLORECTAL CANCER CLASSIFICATION USING SEQUENTIAL CNN ARCHITECTURE AUTHORS : Muthusamy P, Arthi R, Mowleshwaran K, Arunkumar S, Yasar S ABSTRACT &#8211; Colorectal cancer (CRC) is one of the most common and life-threatening cancers worldwide, where early detection significantly improves survival rates. Conventional diagnostic approaches such as colonoscopy and histopathological examination [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_eb_attr":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-7292","post","type-post","status-publish","format-standard","hentry","category-engineering"],"_links":{"self":[{"href":"https:\/\/ijete.com\/index.php\/wp-json\/wp\/v2\/posts\/7292","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ijete.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ijete.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ijete.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/ijete.com\/index.php\/wp-json\/wp\/v2\/comments?post=7292"}],"version-history":[{"count":7,"href":"https:\/\/ijete.com\/index.php\/wp-json\/wp\/v2\/posts\/7292\/revisions"}],"predecessor-version":[{"id":7306,"href":"https:\/\/ijete.com\/index.php\/wp-json\/wp\/v2\/posts\/7292\/revisions\/7306"}],"wp:attachment":[{"href":"https:\/\/ijete.com\/index.php\/wp-json\/wp\/v2\/media?parent=7292"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ijete.com\/index.php\/wp-json\/wp\/v2\/categories?post=7292"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ijete.com\/index.php\/wp-json\/wp\/v2\/tags?post=7292"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}