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"the activation of each neurone is then computed by the application of this non-linear function to the weighted sum of its inputs and an additional bias term. This is what gives the neural network the ability to approximate almost any function."

Line 29:242 · Do not put full stops at the end of a list item.

Headings Valid

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Expected headings

H1 Terminology
H1 Usage
H1 Epidemiology
H2 Risk factors
H2 Associations
H1 Clinical presentation
H2 Complications
H1 Diagnosis
H2 Diagnostic criteria
H2 Diagnostic clues
H1 Pathology
H2 Aetiology
H2 Location
H2 Classification
H2 Macroscopic appearance
H2 Microscopic appearance
H2 Immunophenotype
H2 Markers
H2 Genetics
H1 Radiographic features
H2 Plain radiograph
H2 Mammography
H2 Antenatal ultrasound
H2 Transoesophageal echocardiography
H2 Ultrasound
H2 CT
H3 Dual-energy CT
H2 Angiography (DSA)
H2 MRI
H2 CT/MRI
H2 Nuclear medicine
H3 PET-CT
H3 PET-MRI
H1 Radiology report
H1 Treatment and prognosis
H2 Complications
H1 History and etymology
H1 Differential diagnosis
H2 Clinical differential diagnosis
H1 Practical points
H1 See also

"Architecture"

Line 2:1 · "Architecture" is not a recognised heading for this article type.

"Input"

Line 9:1 · "Input" is not a recognised heading for this article type.

"Feature extraction"

Line 12:1 · "Feature extraction" is not a recognised heading for this article type.

"Classification and output"

Line 41:1 · "Classification and output" is not a recognised heading for this article type.

"Training"

Line 43:1 · "Training" is not a recognised heading for this article type.

Oxford Comma

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"input (image, volume or video)"

Line 5:15 · Use the Oxford comma in 'image, volume or video'.

Links

neural-network-overview-1

deep-learning

feature-extraction

convolution

kernel-image-processing

supervised-learning-machine-learning

backpropagation-machine-learning

Lint: convolutional-neural-network