ResNet+, a ResNet-D and CBAM hybrid, achieves up to 99.25% accuracy on lung cancer CT classification and 98.14% on histopathology, though the reported metrics contain inconsistencies.
Experimental detection of early-stage lung and skin tumors based on super wideband imaging
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Classification based deep learning models for lung cancer and disease using medical images
ResNet+, a ResNet-D and CBAM hybrid, achieves up to 99.25% accuracy on lung cancer CT classification and 98.14% on histopathology, though the reported metrics contain inconsistencies.