Breast　cancer　is　one　of　the　most　common　cancers　among　women　worldwide.　Ultrasound　imaging　has　been　widely　used　in　the　detection　and　diagnosis　of　breast　tumors.　However,　due　to　factors　such　as　limited　spatial　resolution　and　speckle　noise,　classification　of　benign　and　malignant　breast　tumors　using　conventional　B-mode　ultrasound　still　remains　a　challenging　task.　H-scan　is　a　new　ultrasound　technique　that　images　the　relative　size　of　acoustic　scatterers.　However,　the　feasibility　of　H-scan　ultrasound　imaging　in　the　classification　of　benign　and　malignant　breast　tumors　has　not　been　investigated.　In　this　paper,　we　proposed　a　new　method　based　on　H-scan　ultrasound　imaging　to　classify　benign　and　malignant　breast　tumors.　Backscattered　ultrasound　radiofrequency　signals　of　100　breast　tumors　were　used　(48　benign　and　52　malignant　cases).　H-scan　ultrasound　images　were　constructed　with　the　radiofrequency　signals　by　matched　filtering　using　Gaussian-weighted　Hermite　polynomials.　Experimental　results　showed　that　benign　breast　tumors　had　more　red　components,　while　malignant　breast　tumors　had　more　blue　components　in　H-scan　ultrasound　images.　There　were　significant　differences　between　the　RGB　channels　of　H-scan　ultrasound　images　of　benign　and　malignant　breast　tumors.　We　conclude　H-scan　ultrasound　imaging　can　be　used　as　a　new　method　for　classifying　benign　and　malignant　breast　tumors.